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Volume 151: International Conference on Artificial Intelligence and Statistics, 28-30 March 2022, A Virtual Conference
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Editors: Gustau Camps-Valls, Francisco J. R. Ruiz, Isabel Valera
Cross-Loss Influence Functions to Explain Deep Network Representations
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1-17
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Federated Reinforcement Learning with Environment Heterogeneity
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:18-37
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On Linear Model with Markov Signal Priors
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:38-53
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Maillard Sampling: Boltzmann Exploration Done Optimally
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:54-72
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Norm-Agnostic Linear Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:73-91
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Gaussian Process Bandit Optimization with Few Batches
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:92-107
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Approximate Function Evaluation via Multi-Armed Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:108-135
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:136-168
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System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:169-187
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Deep Layer-wise Networks Have Closed-Form Weights
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:188-225
Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:226-239
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Neural Contextual Bandits without Regret
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:240-278
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SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:279-318
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Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:319-341
k-experts - Online Policies and Fundamental Limits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:342-365
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Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:366-402
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Multi-armed Bandit Algorithm against Strategic Replication
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:403-431
Gap-Dependent Bounds for Two-Player Markov Games
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:432-455
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Exploiting Correlation to Achieve Faster Learning Rates in Low-Rank Preference Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:456-482
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Exploring Image Regions Not Well Encoded by an INN
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:483-509
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Finding Dynamics Preserving Adversarial Winning Tickets
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:510-528
Being a Bit Frequentist Improves Bayesian Neural Networks
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:529-545
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Jointly Efficient and Optimal Algorithms for Logistic Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:546-580
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Obtaining Causal Information by Merging Datasets with MAXENT
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:581-603
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Distributed Sparse Multicategory Discriminant Analysis
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:604-624
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Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:625-639
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A View of Exact Inference in Graphs from the Degree-4 Sum-of-Squares Hierarchy
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:640-654
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Marginalized Operators for Off-policy Reinforcement Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:655-679
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Basis Matters: Better Communication-Efficient Second Order Methods for Federated Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:680-720
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Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:721-738
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Causally motivated shortcut removal using auxiliary labels
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:739-766
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Learning to Plan Variable Length Sequences of Actions with a Cascading Bandit Click Model of User Feedback
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:767-797
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Identity Testing of Reversible Markov Chains
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:798-817
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Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:818-835
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A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:836-859
Adaptively Partitioning Max-Affine Estimators for Convex Regression
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:860-874
Variational Marginal Particle Filters
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:875-895
On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:896-921
Robustness and Reliability When Training With Noisy Labels
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:922-942
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Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:943-970
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A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:971-990
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Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:991-1040
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Policy Learning and Evaluation with Randomized Quasi-Monte Carlo
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1041-1061
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Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1062-1077
Multiway Spherical Clustering via Degree-Corrected Tensor Block Models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1078-1119
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Fixed Support Tree-Sliced Wasserstein Barycenter
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1120-1137
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k-Pareto Optimality-Based Sorting with Maximization of Choice
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1138-1160
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Towards Return Parity in Markov Decision Processes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1161-1178
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Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1179-1189
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Survival regression with proper scoring rules and monotonic neural networks
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1190-1205
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Physics Informed Deep Kernel Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1206-1218
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Fast Distributionally Robust Learning with Variance-Reduced Min-Max Optimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1219-1250
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Heavy-tailed Streaming Statistical Estimation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1251-1282
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On Distributionally Robust Optimization and Data Rebalancing
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1283-1297
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Spiked Covariance Estimation from Modulo-Reduced Measurements
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1298-1320
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A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1321-1335
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Robust Probabilistic Time Series Forecasting
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1336-1358
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VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1359-1379
Implicitly Regularized RL with Implicit Q-values
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1380-1402
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A Witness Two-Sample Test
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1403-1419
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Sample-and-threshold differential privacy: Histograms and applications
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1420-1431
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Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1432-1456
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A Complete Characterisation of ReLU-Invariant Distributions
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1457-1484
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Threading the Needle of On and Off-Manifold Value Functions for Shapley Explanations
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1485-1502
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Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1503-1526
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Equivariance Discovery by Learned Parameter-Sharing
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1527-1545
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Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1546-1574
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1575-1597
Parametric Bootstrap for Differentially Private Confidence Intervals
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1598-1618
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Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1619-1642
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Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1643-1654
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Online Page Migration with ML Advice
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1655-1670
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Policy Learning for Optimal Individualized Dose Intervals
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1671-1693
Deep Multi-Fidelity Active Learning of High-Dimensional Outputs
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1694-1711
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Online Learning for Unknown Partially Observable MDPs
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1712-1732
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Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1733-1774
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A Bayesian Model for Online Activity Sample Sizes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1775-1785
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Parallel MCMC Without Embarrassing Failures
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1786-1804
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Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1805-1845
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Counterfactual Explanation Trees: Transparent and Consistent Actionable Recourse with Decision Trees
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1846-1870
Spectral risk-based learning using unbounded losses
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1871-1886
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A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1887-1909
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On the Global Optimum Convergence of Momentum-based Policy Gradient
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1910-1934
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Feature screening with kernel knockoffs
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1935-1974
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Bias-Variance Decompositions for Margin Losses
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:1975-2001
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Grassmann Stein Variational Gradient Descent
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2002-2021
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Nonstochastic Bandits and Experts with Arm-Dependent Delays
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2022-2044
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Improved analysis of randomized SVD for top-eigenvector approximation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2045-2072
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p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2073-2100
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Non-stationary Online Learning with Memory and Non-stochastic Control
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2101-2133
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Dimensionality Reduction and Prioritized Exploration for Policy Search
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2134-2157
The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2158-2172
Improving Attribution Methods by Learning Submodular Functions
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2173-2190
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Conditional Gradients for the Approximately Vanishing Ideal
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2191-2209
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Efficient Algorithms for Extreme Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2210-2248
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Rejection sampling from shape-constrained distributions in sublinear time
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2249-2265
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Learning Inconsistent Preferences with Gaussian Processes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2266-2281
Bayesian Classifier Fusion with an Explicit Model of Correlation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2282-2310
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Conditionally Gaussian PAC-Bayes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2311-2329
Leveraging Time Irreversibility with Order-Contrastive Pre-training
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2330-2353
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Moment Matching Deep Contrastive Latent Variable Models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2354-2371
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Unifying Importance Based Regularisation Methods for Continual Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2372-2396
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Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2397-2419
Confident Least Square Value Iteration with Local Access to a Simulator
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2420-2435
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Safe Optimal Design with Applications in Off-Policy Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2436-2447
Accurate Shapley Values for explaining tree-based models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2448-2465
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A Single-Timescale Method for Stochastic Bilevel Optimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2466-2488
Strategic ranking
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2489-2518
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Encrypted Linear Contextual Bandit
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2519-2551
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Density Ratio Estimation via Infinitesimal Classification
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2552-2573
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2574-2606
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2607-2617
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Pairwise Supervision Can Provably Elicit a Decision Boundary
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2618-2640
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2641-2657
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On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2658-2705
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Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2706-2735
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Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2736-2761
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One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2762-2783
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2784-2802
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Robust Deep Learning from Crowds with Belief Propagation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2803-2822
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Sampling from Arbitrary Functions via PSD Models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2823-2861
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Uncertainty Quantification for Bayesian Optimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2862-2884
Metalearning Linear Bandits by Prior Update
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2885-2926
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Fast Rank-1 NMF for Missing Data with KL Divergence
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2927-2940
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Randomized Stochastic Gradient Descent Ascent
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2941-2969
Aligned Multi-Task Gaussian Process
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2970-2988
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Generative Models as Distributions of Functions
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:2989-3015
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ContextGen: Targeted Data Generation for Low Resource Domain Specific Text Classification
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3016-3027
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Super-Acceleration with Cyclical Step-sizes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3028-3065
On PAC-Bayesian reconstruction guarantees for VAEs
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3066-3079
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MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3080-3090
Random Effect Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3091-3107
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DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3108-3137
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Embedded Ensembles: infinite width limit and operating regimes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3138-3163
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State Dependent Performative Prediction with Stochastic Approximation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3164-3186
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Reward-Free Policy Space Compression for Reinforcement Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3187-3203
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Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3204-3218
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Learning Quantile Functions for Temporal Point Processes with Recurrent Neural Splines
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3219-3241
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Differentially Private Regression with Unbounded Covariates
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3242-3273
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Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3274-3307
Measuring the robustness of Gaussian processes to kernel choice
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3308-3331
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A general sample complexity analysis of vanilla policy gradient
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3332-3380
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Pairwise Fairness for Ordinal Regression
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3381-3417
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LIMESegment: Meaningful, Realistic Time Series Explanations
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3418-3433
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A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3434-3457
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Spectral Pruning for Recurrent Neural Networks
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3458-3482
Many processors, little time: MCMC for partitions via optimal transport couplings
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3483-3514
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Sinkformers: Transformers with Doubly Stochastic Attention
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3515-3530
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Finding Nearly Everything within Random Binary Networks
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3531-3541
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Last Layer Marginal Likelihood for Invariance Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3542-3555
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Minimax Optimization: The Case of Convex-Submodular
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3556-3580
Federated Learning with Buffered Asynchronous Aggregation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3581-3607
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Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3608-3626
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Deep Neyman-Scott Processes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3627-3646
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CATVI: Conditional and Adaptively Truncated Variational Inference for Hierarchical Bayesian Nonparametric Models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3647-3662
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Certifiably Robust Variational Autoencoders
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3663-3683
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3684-3708
On Margins and Derandomisation in PAC-Bayes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3709-3731
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A Spectral Perspective of DNN Robustness to Label Noise
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3732-3752
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Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3753-3771
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Computing D-Stationary Points of $ρ$-Margin Loss SVM
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3772-3793
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A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3794-3820
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An Information-Theoretic Justification for Model Pruning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3821-3846
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Flexible Accuracy for Differential Privacy
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3847-3882
Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3883-3913
On Facility Location Problem in the Local Differential Privacy Model
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3914-3929
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Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3930-3961
MLDemon:Deployment Monitoring for Machine Learning Systems
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3962-3997
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How to Learn when Data Gradually Reacts to Your Model
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3998-4035
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Mitigating Bias in Calibration Error Estimation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4036-4054
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Privacy Amplification by Subsampling in Time Domain
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4055-4069
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How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4070-4108
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Gap-Dependent Unsupervised Exploration for Reinforcement Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4109-4131
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On the Generalization of Representations in Reinforcement Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4132-4157
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Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4158-4177
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Learning a Single Neuron for Non-monotonic Activation Functions
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4178-4197
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Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4198-4216
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Model-free Policy Learning with Reward Gradients
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4217-4234
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Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4235-4258
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Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4259-4280
Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4281-4308
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Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4309-4338
Optimal partition recovery in general graphs
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4339-4358
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4359-4375
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Offline Policy Selection under Uncertainty
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4376-4396
On Multimarginal Partial Optimal Transport: Equivalent Forms and Computational Complexity
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4397-4413
Independent Natural Policy Gradient always converges in Markov Potential Games
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4414-4425
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Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4426-4445
Projection Predictive Inference for Generalized Linear and Additive Multilevel Models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4446-4461
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Point Cloud Generation with Continuous Conditioning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4462-4481
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An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4482-4498
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4499-4511
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Safe Active Learning for Multi-Output Gaussian Processes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4512-4551
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Variational Continual Proxy-Anchor for Deep Metric Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4552-4573
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Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4574-4594
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Variational Autoencoders: A Harmonic Perspective
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4595-4611
On the Consistency of Max-Margin Losses
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4612-4633
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A prior-based approximate latent Riemannian metric
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4634-4658
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On Convergence of Lookahead in Smooth Games
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4659-4684
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Learning Proposals for Practical Energy-Based Regression
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4685-4704
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Predicting the impact of treatments over time with uncertainty aware neural differential equations.
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4705-4722
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Improved Algorithms for Misspecified Linear Markov Decision Processes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4723-4746
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Synthsonic: Fast, Probabilistic modeling and Synthesis of Tabular Data
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4747-4763
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Lagrangian manifold Monte Carlo on Monge patches
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4764-4781
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Optimal Accounting of Differential Privacy via Characteristic Function
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4782-4817
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Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4818-4834
Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4835-4852
On the Interplay between Information Loss and Operation Loss in Representations for Classification
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4853-4871
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Pulling back information geometry
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4872-4894
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Optimizing Early Warning Classifiers to Control False Alarms via a Minimum Precision Constraint
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4895-4914
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Resampling Base Distributions of Normalizing Flows
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4915-4936
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Federated Myopic Community Detection with One-shot Communication
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4937-4954
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Variational Gaussian Processes: A Functional Analysis View
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4955-4971
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Adversarially Robust Kernel Smoothing
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4972-4994
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Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:4995-5021
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Off-Policy Risk Assessment for Markov Decision Processes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5022-5050
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Predictive variational Bayesian inference as risk-seeking optimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5051-5083
Kantorovich Mechanism for Pufferfish Privacy
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5084-5103
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Margin-distancing for safe model explanation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5104-5134
Optimal transport with $f$-divergence regularization and generalized Sinkhorn algorithm
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5135-5165
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Modelling Non-Smooth Signals with Complex Spectral Structure
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5166-5195
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Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5196-5211
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Particle-based Adversarial Local Distribution Regularization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5212-5224
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Crowdsourcing Regression: A Spectral Approach
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5225-5242
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How to scale hyperparameters for quickshift image segmentation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5243-5275
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Wide Mean-Field Bayesian Neural Networks Ignore the Data
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5276-5333
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Privacy Amplification by Decentralization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5334-5353
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Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5354-5390
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New Coresets for Projective Clustering and Applications
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5391-5415
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Weak Separation in Mixture Models and Implications for Principal Stratification
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5416-5458
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Using time-series privileged information for provably efficient learning of prediction models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5459-5484
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Faster Single-loop Algorithms for Minimax Optimization without Strong Concavity
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5485-5517
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TD-GEN: Graph Generation Using Tree Decomposition
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5518-5537
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5538-5562
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5563-5582
Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5583-5603
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Estimators of Entropy and Information via Inference in Probabilistic Models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5604-5621
Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5622-5635
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Fast and accurate optimization on the orthogonal manifold without retraction
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5636-5657
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Beyond the Policy Gradient Theorem for Efficient Policy Updates in Actor-Critic Algorithms
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5658-5688
Efficient Kernelized UCB for Contextual Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5689-5720
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Acceleration in Distributed Optimization under Similarity
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5721-5756
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Corruption-robust Offline Reinforcement Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5757-5773
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A Cramér Distance perspective on Quantile Regression based Distributional Reinforcement Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5774-5789
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Orbital MCMC
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5790-5814
PAC Mode Estimation using PPR Martingale Confidence Sequences
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5815-5852
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Harmless interpolation in regression and classification with structured features
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5853-5875
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Masked Training of Neural Networks with Partial Gradients
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5876-5890
Learning in Stochastic Monotone Games with Decision-Dependent Data
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5891-5912
On Combining Bags to Better Learn from Label Proportions
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5913-5927
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Meta Learning MDPs with linear transition models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5928-5948
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Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5949-5986
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Permutation Equivariant Layers for Higher Order Interactions
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:5987-6001
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Efficient Online Bayesian Inference for Neural Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6002-6021
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Parameter-Free Online Linear Optimization with Side Information via Universal Coin Betting
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6022-6044
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Performative Prediction in a Stateful World
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6045-6061
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Learning Revenue-Maximizing Auctions With Differentiable Matching
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6062-6073
Orthogonal Multi-Manifold Enriching of Directed Networks
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6074-6086
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Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6087-6120
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The Tree Loss: Improving Generalization with Many Classes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6121-6133
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Double Control Variates for Gradient Estimation in Discrete Latent Variable Models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6134-6151
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Transfer Learning with Gaussian Processes for Bayesian Optimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6152-6181
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Conditional Linear Regression for Heterogeneous Covariances
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6182-6199
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Learning Competitive Equilibria in Exchange Economies with Bandit Feedback
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6200-6224
Node Feature Kernels Increase Graph Convolutional Network Robustness
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6225-6241
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Top K Ranking for Multi-Armed Bandit with Noisy Evaluations
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6242-6269
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Differential privacy for symmetric log-concave mechanisms
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6270-6291
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Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6292-6320
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Fair Disaster Containment via Graph-Cut Problems
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6321-6333
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Provable Lifelong Learning of Representations
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6334-6356
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Learning from an Exploring Demonstrator: Optimal Reward Estimation for Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6357-6386
A New Notion of Individually Fair Clustering: $α$-Equitable $k$-Center
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6387-6408
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Iterative Alignment Flows
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6409-6444
Fast Fourier Transform Reductions for Bayesian Network Inference
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6445-6458
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QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6459-6500
Lifted Division for Lifted Hugin Belief Propagation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6501-6510
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Proximal Optimal Transport Modeling of Population Dynamics
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6511-6528
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Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6529-6553
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Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6554-6572
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Are All Linear Regions Created Equal?
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6573-6590
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Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6591-6629
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An Alternate Policy Gradient Estimator for Softmax Policies
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6630-6689
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Co-Regularized Adversarial Learning for Multi-Domain Text Classification
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6690-6701
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Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6702-6734
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Near Instance Optimal Model Selection for Pure Exploration Linear Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6735-6769
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Identification in Tree-shaped Linear Structural Causal Models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6770-6792
Pareto Optimal Model Selection in Linear Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6793-6813
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PAC Top-$k$ Identification under SST in Limited Rounds
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6814-6839
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Local SGD Optimizes Overparameterized Neural Networks in Polynomial Time
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6840-6861
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Dual-Level Adaptive Information Filtering for Interactive Image Segmentation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6862-6879
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On the Value of Prior in Online Learning to Rank
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6880-6892
Doubly Mixed-Effects Gaussian Process Regression
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6893-6908
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Weighted Gaussian Process Bandits for Non-stationary Environments
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6909-6932
Conditionally Tractable Density Estimation using Neural Networks
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6933-6946
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Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6947-6967
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Sensing Cox Processes via Posterior Sampling and Positive Bases
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6968-6989
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A Predictive Approach to Bayesian Nonparametric Survival Analysis
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:6990-7013
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On the equivalence of Oja’s algorithm and GROUSE
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7014-7030
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Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7031-7054
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Label differential privacy via clustering
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7055-7075
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Neural score matching for high-dimensional causal inference
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7076-7110
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7111-7123
Multi-class classification in nonparametric active learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7124-7162
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On the Assumptions of Synthetic Control Methods
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7163-7175
Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7176-7186
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Investigating the Role of Negatives in Contrastive Representation Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7187-7209
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7210-7239
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Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7240-7256
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Cycle Consistent Probability Divergences Across Different Spaces
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7257-7285
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Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7286-7299
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A Bandit Model for Human-Machine Decision Making with Private Information and Opacity
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7300-7319
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Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7320-7348
Adaptive Multi-Goal Exploration
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7349-7383
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Chernoff Sampling for Active Testing and Extension to Active Regression
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7384-7432
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7433-7449
Optimal Design of Stochastic DNA Synthesis Protocols based on Generative Sequence Models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7450-7482
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Approximate Top-$m$ Arm Identification with Heterogeneous Reward Variances
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7483-7504
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On perfectness in Gaussian graphical models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7505-7517
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GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7518-7530
Efficient interventional distribution learning in the PAC framework
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7531-7549
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Dropout as a Regularizer of Interaction Effects
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7550-7564
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Thompson Sampling with a Mixture Prior
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7565-7586
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7587-7624
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Nearly Optimal Algorithms for Level Set Estimation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7625-7658
Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7659-7679
Optimal Compression of Locally Differentially Private Mechanisms
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7680-7723
Hierarchical Bayesian Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7724-7741
Complex Momentum for Optimization in Games
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7742-7765
Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7766-7798
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Tuning-Free Generalized Hamiltonian Monte Carlo
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7799-7813
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Federated Functional Gradient Boosting
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7814-7840
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Generalised GPLVM with Stochastic Variational Inference
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7841-7864
Stochastic Extragradient: General Analysis and Improved Rates
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7865-7901
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Deep Non-crossing Quantiles through the Partial Derivative
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7902-7914
Optimal channel selection with discrete QCQP
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7915-7941
Vanishing Curvature in Randomly Initialized Deep ReLU Networks
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7942-7975
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:7976-8002
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Self-training Converts Weak Learners to Strong Learners in Mixture Models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8003-8021
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Two-Sample Test with Kernel Projected Wasserstein Distance
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8022-8055
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Mode estimation on matrix manifolds: Convergence and robustness
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8056-8079
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A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8080-8094
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Towards Federated Bayesian Network Structure Learning with Continuous Optimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8095-8111
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Nuances in Margin Conditions Determine Gains in Active Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8112-8126
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Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8127-8150
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Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8151-8175
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On the Convergence of Continuous Constrained Optimization for Structure Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8176-8198
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Hardness of Learning a Single Neuron with Adversarial Label Noise
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8199-8213
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Firebolt: Weak Supervision Under Weaker Assumptions
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8214-8259
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Relational Neural Markov Random Fields
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8260-8269
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PACm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8270-8298
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Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8299-8339
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Online Control of the False Discovery Rate under "Decision Deadlines"
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8340-8359
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8360-8369
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A Bayesian Approach for Stochastic Continuum-armed Bandit with Long-term Constraints
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8370-8391
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Amortized Rejection Sampling in Universal Probabilistic Programming
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8392-8412
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The Curse of Passive Data Collection in Batch Reinforcement Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8413-8438
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Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8439-8457
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Adversarial Tracking Control via Strongly Adaptive Online Learning with Memory
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8458-8492
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8493-8513
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Debiasing Samples from Online Learning Using Bootstrap
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8514-8533
Convergence of online k-means
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8534-8569
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Reconstructing Test Labels from Noisy Loss Functions
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8570-8591
Contrasting the landscape of contrastive and non-contrastive learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8592-8618
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A general class of surrogate functions for stable and efficient reinforcement learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8619-8649
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Fundamental limits for rank-one matrix estimation with groupwise heteroskedasticity
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8650-8672
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Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8673-8699
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Decoupling Local and Global Representations of Time Series
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8700-8714
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Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8715-8737
Optimal estimation of Gaussian DAG models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8738-8757
Improved Approximation Algorithms for Individually Fair Clustering
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8758-8779
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Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8780-8802
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Variance Minimization in the Wasserstein Space for Invariant Causal Prediction
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8803-8851
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Online Continual Adaptation with Active Self-Training
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8852-8883
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Structured variational inference in Bayesian state-space models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8884-8905
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Structured Multi-task Learning for Molecular Property Prediction
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8906-8920
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Nonparametric Relational Models with Superrectangulation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8921-8937
Regret, stability & fairness in matching markets with bandit learners
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8938-8968
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Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8969-8996
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Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:8997-9016
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ExactBoost: Directly Boosting the Margin in Combinatorial and Non-decomposable Metrics
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9017-9049
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9050-9090
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Near-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9091-9113
Best Arm Identification with Safety Constraints
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9114-9146
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On the complexity of the optimal transport problem with graph-structured cost
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9147-9165
Second-Order Sensitivity Analysis for Bilevel Optimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9166-9181
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On Learning Mixture Models with Sparse Parameters
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9182-9213
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Sketch-and-lift: scalable subsampled semidefinite program for K-means clustering
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9214-9246
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Asynchronous Distributed Optimization with Stochastic Delays
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9247-9279
Calibration Error for Heterogeneous Treatment Effects
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9280-9303
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Fast Sparse Classification for Generalized Linear and Additive Models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9304-9333
A Unified View of SDP-based Neural Network Verification through Completely Positive Programming
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9334-9355
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Recoverability Landscape of Tree Structured Markov Random Fields under Symmetric Noise
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9356-9399
Learning Sparse Fixed-Structure Gaussian Bayesian Networks
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9400-9429
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Learning and Generalization in Overparameterized Normalizing Flows
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9430-9504
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Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky’s Theorem
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9505-9549
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Learning Interpretable, Tree-Based Projection Mappings for Nonlinear Embeddings
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9550-9570
Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9571-9581
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Sample Complexity of Robust Reinforcement Learning with a Generative Model
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9582-9602
On Coresets for Fair Regression and Individually Fair Clustering
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9603-9625
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LocoProp: Enhancing BackProp via Local Loss Optimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9626-9642
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Towards Agnostic Feature-based Dynamic Pricing: Linear Policies vs Linear Valuation with Unknown Noise
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9643-9662
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9663-9685
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Exact Community Recovery over Signed Graphs
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9686-9710
Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9711-9722
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Primal-Dual Stochastic Mirror Descent for MDPs
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9723-9740
Convex Analysis of the Mean Field Langevin Dynamics
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9741-9757
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Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9758-9775
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Marginalising over Stationary Kernels with Bayesian Quadrature
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9776-9792
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On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9793-9826
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An Unsupervised Hunt for Gravitational Lenses
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9827-9843
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9844-9868
Mean Nyström Embeddings for Adaptive Compressive Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9869-9889
GraphAdaMix: Enhancing Node Representations with Graph Adaptive Mixtures
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9890-9907
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Provable Adversarial Robustness for Fractional Lp Threat Models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9908-9942
On Some Fast And Robust Classifiers For High Dimension, Low Sample Size Data
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9943-9968
Learning Pareto-Efficient Decisions with Confidence
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9969-9981
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Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9982-9997
Compressed Rule Ensemble Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:9998-10014
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Pick-and-Mix Information Operators for Probabilistic ODE Solvers
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10015-10027
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Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10028-10066
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The Importance of Future Information in Credit Card Fraud Detection
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10067-10077
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A Non-asymptotic Approach to Best-Arm Identification for Gaussian Bandits
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10078-10109
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Differentially Private Federated Learning on Heterogeneous Data
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10110-10145
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Efficient computation of the the volume of a polytope in high-dimensions using Piecewise Deterministic Markov Processes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10146-10160
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Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10161-10195
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Solving Marginal MAP Exactly by Probabilistic Circuit Transformations
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10196-10208
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REPID: Regional Effect Plots with implicit Interaction Detection
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10209-10233
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Minimal Expected Regret in Linear Quadratic Control
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10234-10321
Data-splitting improves statistical performance in overparameterized regimes
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10322-10350
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Towards Understanding Biased Client Selection in Federated Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10351-10375
Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10376-10406
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Effective Nonlinear Feature Selection Method based on HSIC Lasso and with Variational Inference
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10407-10421
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Sobolev Norm Learning Rates for Conditional Mean Embeddings
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10422-10447
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Provable Continual Learning via Sketched Jacobian Approximations
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10448-10470
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Neural Enhanced Dynamic Message Passing
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10471-10482
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Duel-based Deep Learning system for solving IQ tests
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10483-10492
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On a Connection Between Fast and Sparse Oblivious Subspace Embeddings
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10493-10517
Modeling Conditional Dependencies in Multiagent Trajectories
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10518-10533
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Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10534-10554
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Increasing the accuracy and resolution of precipitation forecasts using deep generative models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10555-10571
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Tight bounds for minimum $\ell_1$-norm interpolation of noisy data
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10572-10602
Multivariate Quantile Function Forecaster
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10603-10621
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Coresets for Data Discretization and Sine Wave Fitting
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10622-10639
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Non-separable Spatio-temporal Graph Kernels via SPDEs
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10640-10660
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Towards an Understanding of Default Policies in Multitask Policy Optimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10661-10686
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10687-10702
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Can Functional Transfer Methods Capture Simple Inductive Biases?
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10703-10717
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On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10718-10752
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Model-agnostic out-of-distribution detection using combined statistical tests
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10753-10776
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Generalized Group Testing
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10777-10835
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Adaptive A/B Test on Networks with Cluster Structures
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10836-10851
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Spectral Robustness for Correlation Clustering Reconstruction in Semi-Adversarial Models
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10852-10880
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Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10881-10923
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Two-way Sparse Network Inference for Count Data
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10924-10938
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Rapid Convergence of Informed Importance Tempering
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10939-10965
On the Implicit Bias of Gradient Descent for Temporal Extrapolation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10966-10981
Differentiable Bayesian inference of SDE parameters using a pathwise series expansion of Brownian motion
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10982-10998
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Quadric Hypersurface Intersection for Manifold Learning in Feature Space
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:10999-11013
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Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11014-11036
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Outcome Assumptions and Duality Theory for Balancing Weights
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11037-11055
Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11056-11071
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Learning from Multiple Noisy Partial Labelers
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11072-11095
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Forward Looking Best-Response Multiplicative Weights Update Methods for Bilinear Zero-sum Games
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11096-11117
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Hypergraph Simultaneous Generators
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11118-11130
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Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11131-11144
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Robust Training in High Dimensions via Block Coordinate Geometric Median Descent
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11145-11168
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Stateful Offline Contextual Policy Evaluation and Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11169-11194
Sample Complexity of Policy-Based Methods under Off-Policy Sampling and Linear Function Approximation
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11195-11214
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Solving Multi-Arm Bandit Using a Few Bits of Communication
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11215-11236
Causal Effect Identification with Context-specific Independence Relations of Control Variables
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11237-11246
Entropy Regularized Optimal Transport Independence Criterion
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11247-11279
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Polynomial Time Reinforcement Learning in Factored State MDPs with Linear Value Functions
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11280-11304
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PAC Learning of Quantum Measurement Classes : Sample Complexity Bounds and Universal Consistency
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11305-11319
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Can we Generalize and Distribute Private Representation Learning?
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11320-11340
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Feature Collapsing for Gaussian Process Variable Ranking
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11341-11355
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Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11356-11373
FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11374-11421
Data Appraisal Without Data Sharing
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11422-11437
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On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11438-11460
Transductive Robust Learning Guarantees
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11461-11471
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Online Competitive Influence Maximization
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11472-11502
Adaptive Importance Sampling meets Mirror Descent : a Bias-variance Tradeoff
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11503-11527
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The role of optimization geometry in single neuron learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11528-11549
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Learning Tensor Representations for Meta-Learning
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11550-11580
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Differentially Private Densest Subgraph
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11581-11597
A Manifold View of Adversarial Risk
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11598-11614
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Statistical and computational thresholds for the planted k-densest sub-hypergraph problem
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11615-11640
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Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11641-11654
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Equivariant Deep Dynamical Model for Motion Prediction
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11655-11668
The Fast Kernel Transform
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11669-11690
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Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11691-11719
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Diversity and Generalization in Neural Network Ensembles
; Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:11720-11743
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