![[International Conference on Artificial Intelligence and Statistics Logo]](/v130/assets/images/logo-pmlr.svg){kind=logo}
[edit]
Volume 130: International Conference on Artificial Intelligence and Statistics, 13-15 April 2021, Virtual
[edit]
Editors: Arindam Banerjee, Kenji Fukumizu
On the Effect of Auxiliary Tasks on Representation Dynamics
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1-9
LassoNet: Neural Networks with Feature Sparsity
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:10-18
Projection-Free Optimization on Uniformly Convex Sets
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:19-27
Differentiable Greedy Algorithm for Monotone Submodular Maximization: Guarantees, Gradient Estimators, and Applications
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:28-36
Graphical Normalizing Flows
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:37-45
One-Round Communication Efficient Distributed M-Estimation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:46-54
CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:55-63
Regularized Policies are Reward Robust
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:64-72
Semi-Supervised Learning with Meta-Gradient
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:73-81
On Information Gain and Regret Bounds in Gaussian Process Bandits
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:82-90
On the proliferation of support vectors in high dimensions
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:91-99
Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:100-108
A Fast and Robust Method for Global Topological Functional Optimization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:109-117
[abs][Download PDF]
Regression Discontinuity Design under Self-selection
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:118-126
Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:127-135
When OT meets MoM: Robust estimation of Wasserstein Distance
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:136-144
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:145-153
Unconstrained MAP Inference, Exponentiated Determinantal Point Processes, and Exponential Inapproximability
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:154-162
False Discovery Rates in Biological Networks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:163-171
Fourier Bases for Solving Permutation Puzzles
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:172-180
Accelerating Metropolis-Hastings with Lightweight Inference Compilation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:181-189
[abs][Download PDF]
Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:190-198
Fully Gap-Dependent Bounds for Multinomial Logit Bandit
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:199-207
Alternating Direction Method of Multipliers for Quantization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:208-216
Online Forgetting Process for Linear Regression Models
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:217-225
A Bayesian nonparametric approach to count-min sketch under power-law data streams
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:226-234
Nonlinear Functional Output Regression: A Dictionary Approach
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:235-243
When MAML Can Adapt Fast and How to Assist When It Cannot
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:244-252
Learning Smooth and Fair Representations
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:253-261
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:262-270
Contextual Blocking Bandits
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:271-279
Kernel Distributionally Robust Optimization: Generalized Duality Theorem and Stochastic Approximation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:280-288
A comparative study on sampling with replacement vs Poisson sampling in optimal subsampling
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:289-297
Robust Imitation Learning from Noisy Demonstrations
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:298-306
Online Active Model Selection for Pre-trained Classifiers
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:307-315
Online Sparse Reinforcement Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:316-324
A Contraction Approach to Model-based Reinforcement Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:325-333
The Spectrum of Fisher Information of Deep Networks Achieving Dynamical Isometry
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:334-342
Benchmarking Simulation-Based Inference
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:343-351
Fisher Auto-Encoders
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:352-360
Deep Spectral Ranking
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:361-369
Tight Regret Bounds for Infinite-armed Linear Contextual Bandits
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:370-378
On the Absence of Spurious Local Minima in Nonlinear Low-Rank Matrix Recovery Problems
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:379-387
Fast Learning in Reproducing Kernel Krein Spaces via Signed Measures
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:388-396
Approximate Message Passing with Spectral Initialization for Generalized Linear Models
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:397-405
Active Learning with Maximum Margin Sparse Gaussian Processes
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:406-414
A Stein Goodness-of-test for Exponential Random Graph Models
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:415-423
The Sample Complexity of Level Set Approximation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:424-432
Curriculum Learning by Optimizing Learning Dynamics
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:433-441
Approximating Lipschitz continuous functions with GroupSort neural networks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:442-450
Learning GPLVM with arbitrary kernels using the unscented transformation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:451-459
Low-Rank Generalized Linear Bandit Problems
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:460-468
On the convergence of the Metropolis algorithm with fixed-order updates for multivariate binary probability distributions
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:469-477
[abs][Download PDF]
Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:478-486
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:487-495
Predictive Power of Nearest Neighbors Algorithm under Random Perturbation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:496-504
On the Generalization Properties of Adversarial Training
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:505-513
Adversarially Robust Estimate and Risk Analysis in Linear Regression
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:514-522
Adaptive Approximate Policy Iteration
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:523-531
Nearest Neighbour Based Estimates of Gradients: Sharp Nonasymptotic Bounds and Applications
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:532-540
Foundations of Bayesian Learning from Synthetic Data
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:541-549
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:550-558
Hierarchical Clustering via Sketches and Hierarchical Correlation Clustering
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:559-567
Generalization Bounds for Stochastic Saddle Point Problems
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:568-576
Learning to Defend by Learning to Attack
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:577-585
A Deterministic Streaming Sketch for Ridge Regression
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:586-594
Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:595-603
On the Role of Data in PAC-Bayes Bounds
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:604-612
CADA: Communication-Adaptive Distributed Adam
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:613-621
Bandit algorithms: Letting go of logarithmic regret for statistical robustness
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:622-630
Geometrically Enriched Latent Spaces
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:631-639
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:640-648
Kernel regression in high dimensions: Refined analysis beyond double descent
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:649-657
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:658-666
Logical Team Q-learning: An approach towards factored policies in cooperative MARL
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:667-675
Automatic structured variational inference
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:676-684
Neural Enhanced Belief Propagation on Factor Graphs
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:685-693
[abs][Download PDF]
Predictive Complexity Priors
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:694-702
Improving predictions of Bayesian neural nets via local linearization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:703-711
Generalized Spectral Clustering via Gromov-Wasserstein Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:712-720
Shapley Flow: A Graph-based Approach to Interpreting Model Predictions
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:721-729
Scalable Constrained Bayesian Optimization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:730-738
Sample efficient learning of image-based diagnostic classifiers via probabilistic labels
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:739-747
[abs][Download PDF]
Nonparametric Variable Screening with Optimal Decision Stumps
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:748-756
Sharp Analysis of a Simple Model for Random Forests
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:757-765
Nested Barycentric Coordinate System as an Explicit Feature Map
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:766-774
An Analysis of the Adaptation Speed of Causal Models
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:775-783
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:784-792
Efficient Computation and Analysis of Distributional Shapley Values
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:793-801
A constrained risk inequality for general losses
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:802-810
[abs][Download PDF]
Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:811-819
Learning Prediction Intervals for Regression: Generalization and Calibration
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:820-828
Regularization Matters: A Nonparametric Perspective on Overparametrized Neural Network
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:829-837
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:838-846
Multi-Fidelity High-Order Gaussian Processes for Physical Simulation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:847-855
Deep Fourier Kernel for Self-Attentive Point Processes
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:856-864
Robustness and scalability under heavy tails, without strong convexity
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:865-873
Understanding the wiring evolution in differentiable neural architecture search
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:874-882
Provable Hierarchical Imitation Learning via EM
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:883-891
Learning with risk-averse feedback under potentially heavy tails
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:892-900
Parametric Programming Approach for More Powerful and General Lasso Selective Inference
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:901-909
On the High Accuracy Limitation of Adaptive Property Estimation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:910-918
Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:919-927
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:928-936
Interpretable Random Forests via Rule Extraction
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:937-945
Regret Minimization for Causal Inference on Large Treatment Space
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:946-954
Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:955-963
Adaptive Sampling for Fast Constrained Maximization of Submodular Functions
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:964-972
[abs][Download PDF]
Mean-Variance Analysis in Bayesian Optimization under Uncertainty
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:973-981
Hadamard Wirtinger Flow for Sparse Phase Retrieval
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:982-990
Stochastic Linear Bandits Robust to Adversarial Attacks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:991-999
[abs][Download PDF]
ATOL: Measure Vectorization for Automatic Topologically-Oriented Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1000-1008
Optimizing Percentile Criterion using Robust MDPs
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1009-1017
On Riemannian Stochastic Approximation Schemes with Fixed Step-Size
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1018-1026
Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1027-1035
Aligning Time Series on Incomparable Spaces
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1036-1044
The Unexpected Deterministic and Universal Behavior of Large Softmax Classifiers
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1045-1053
Measure Transport with Kernel Stein Discrepancy
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1054-1062
Unifying Clustered and Non-stationary Bandits
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1063-1071
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1072-1080
Transforming Gaussian Processes With Normalizing Flows
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1081-1089
Linearly Constrained Gaussian Processes with Boundary Conditions
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1090-1098
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1099-1107
Top-m identification for linear bandits
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1108-1116
When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1117-1125
Online k-means Clustering
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1126-1134
Consistent k-Median: Simpler, Better and Robust
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1135-1143
Algorithms for Fairness in Sequential Decision Making
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1144-1152
On Learning Continuous Pairwise Markov Random Fields
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1153-1161
Abstract Value Iteration for Hierarchical Reinforcement Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1162-1170
Differentially Private Analysis on Graph Streams
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1171-1179
Learning with Hyperspherical Uniformity
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1180-1188
Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1189-1197
Latent Derivative Bayesian Last Layer Networks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1198-1206
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1207-1215
Provably Safe PAC-MDP Exploration Using Analogies
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1216-1224
Maximal Couplings of the Metropolis-Hastings Algorithm
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1225-1233
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1234-1242
Goodness-of-Fit Test for Mismatched Self-Exciting Processes
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1243-1251
Dominate or Delete: Decentralized Competing Bandits in Serial Dictatorship
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1252-1260
A Study of Condition Numbers for First-Order Optimization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1261-1269
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1270-1278
Differentially Private Online Submodular Maximization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1279-1287
Anderson acceleration of coordinate descent
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1288-1296
Inference in Stochastic Epidemic Models via Multinomial Approximations
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1297-1305
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1306-1314
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1315-1323
Stable ResNet
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1324-1332
Latent variable modeling with random features
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1333-1341
Reaping the Benefits of Bundling under High Production Costs
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1342-1350
[abs][Download PDF]
Momentum Improves Optimization on Riemannian Manifolds
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1351-1359
Quick Streaming Algorithms for Maximization of Monotone Submodular Functions in Linear Time
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1360-1368
On Data Efficiency of Meta-learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1369-1377
Hyperparameter Transfer Learning with Adaptive Complexity
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1378-1386
Local Stochastic Gradient Descent Ascent: Convergence Analysis and Communication Efficiency
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1387-1395
Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1396-1404
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1405-1413
Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1414-1422
Tractable contextual bandits beyond realizability
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1423-1431
Learning User Preferences in Non-Stationary Environments
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1432-1440
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1441-1449
Efficient Statistics for Sparse Graphical Models from Truncated Samples
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1450-1458
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations.
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1459-1467
Feedback Coding for Active Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1468-1476
Shadow Manifold Hamiltonian Monte Carlo
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1477-1485
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1486-1494
Identification of Matrix Joint Block Diagonalization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1495-1503
Understanding Gradient Clipping In Incremental Gradient Methods
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1504-1512
A Variational Information Bottleneck Approach to Multi-Omics Data Integration
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1513-1521
On the Privacy Properties of GAN-generated Samples
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1522-1530
Multitask Bandit Learning Through Heterogeneous Feedback Aggregation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1531-1539
Learning Complexity of Simulated Annealing
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1540-1548
Independent Innovation Analysis for Nonlinear Vector Autoregressive Process
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1549-1557
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1558-1566
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1567-1575
Q-learning with Logarithmic Regret
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1576-1584
An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1585-1593
Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1594-1602
Robust and Private Learning of Halfspaces
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1603-1611
Minimax Model Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1612-1620
On the Faster Alternating Least-Squares for CCA
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1621-1629
Exploiting Equality Constraints in Causal Inference
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1630-1638
Collaborative Classification from Noisy Labels
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1639-1647
Fenchel-Young Losses with Skewed Entropies for Class-posterior Probability Estimation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1648-1656
Maximizing Agreements for Ranking, Clustering and Hierarchical Clustering via MAX-CUT
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1657-1665
Why did the distribution change?
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1666-1674
[abs][Download PDF]
Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1675-1683
Iterative regularization for convex regularizers
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1684-1692
Competing AI: How does competition feedback affect machine learning?
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1693-1701
Stability and Risk Bounds of Iterative Hard Thresholding
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1702-1710
Novel Change of Measure Inequalities with Applications to PAC-Bayesian Bounds and Monte Carlo Estimation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1711-1719
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1720-1728
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1729-1737
Improved Complexity Bounds in Wasserstein Barycenter Problem
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1738-1746
Sparse Algorithms for Markovian Gaussian Processes
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1747-1755
Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1756-1764
Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1765-1773
All of the Fairness for Edge Prediction with Optimal Transport
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1774-1782
γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1783-1791
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1792-1800
Online probabilistic label trees
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1801-1809
Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1810-1818
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1819-1827
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1828-1836
Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1837-1845
Free-rider Attacks on Model Aggregation in Federated Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1846-1854
Reinforcement Learning in Parametric MDPs with Exponential Families
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1855-1863
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1864-1872
No-regret Algorithms for Multi-task Bayesian Optimization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1873-1881
Explicit Regularization of Stochastic Gradient Methods through Duality
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1882-1890
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1891-1899
CONTRA: Contrarian statistics for controlled variable selection
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1900-1908
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1909-1917
Moment-Based Variational Inference for Stochastic Differential Equations
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1918-1926
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1927-1935
Adaptive wavelet pooling for convolutional neural networks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1936-1944
[abs][Download PDF]
The Minecraft Kernel: Modelling correlated Gaussian Processes in the Fourier domain
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1945-1953
[abs][Download PDF]
Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1954-1962
High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1963-1971
Counterfactual Representation Learning with Balancing Weights
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1972-1980
Gradient Descent in RKHS with Importance Labeling
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1981-1989
Learning with Gradient Descent and Weakly Convex Losses
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1990-1998
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:1999-2007
Approximate Data Deletion from Machine Learning Models
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2008-2016
Budgeted and Non-Budgeted Causal Bandits
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2017-2025
Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2026-2034
Equitable and Optimal Transport with Multiple Agents
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2035-2043
A Variational Inference Approach to Learning Multivariate Wold Processes
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2044-2052
Active Online Learning with Hidden Shifting Domains
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2053-2061
No-Regret Algorithms for Private Gaussian Process Bandit Optimization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2062-2070
The Teaching Dimension of Kernel Perceptron
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2071-2079
Quantum Tensor Networks, Stochastic Processes, and Weighted Automata
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2080-2088
Localizing Changes in High-Dimensional Regression Models
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2089-2097
On the Suboptimality of Negative Momentum for Minimax Optimization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2098-2106
Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2107-2115
Corralling Stochastic Bandit Algorithms
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2116-2124
Context-Specific Likelihood Weighting
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2125-2133
Learning Matching Representations for Individualized Organ Transplantation Allocation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2134-2142
Stochastic Gradient Descent Meets Distribution Regression
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2143-2151
Learning Contact Dynamics using Physically Structured Neural Networks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2152-2160
Misspecification in Prediction Problems and Robustness via Improper Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2161-2169
Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2170-2178
Selective Classification via One-Sided Prediction
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2179-2187
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2188-2196
vqSGD: Vector Quantized Stochastic Gradient Descent
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2197-2205
Smooth Bandit Optimization: Generalization to Holder Space
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2206-2214
List Learning with Attribute Noise
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2215-2223
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2224-2232
Fractional moment-preserving initialization schemes for training deep neural networks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2233-2241
Inductive Mutual Information Estimation: A Convex Maximum-Entropy Copula Approach
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2242-2250
Federated f-Differential Privacy
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2251-2259
Clustering multilayer graphs with missing nodes
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2260-2268
Implicit Regularization via Neural Feature Alignment
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2269-2277
Aggregating Incomplete and Noisy Rankings
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2278-2286
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2287-2295
Optimal query complexity for private sequential learning against eavesdropping
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2296-2304
Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2305-2313
[abs][Download PDF]
Differentiable Causal Discovery Under Unmeasured Confounding
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2314-2322
The Sample Complexity of Meta Sparse Regression
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2323-2331
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2332-2340
Group testing for connected communities
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2341-2349
Federated Learning with Compression: Unified Analysis and Sharp Guarantees
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2350-2358
Variational Autoencoder with Learned Latent Structure
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2359-2367
RankDistil: Knowledge Distillation for Ranking
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2368-2376
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2377-2385
On the Linear Convergence of Policy Gradient Methods for Finite MDPs
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2386-2394
Minimal enumeration of all possible total effects in a Markov equivalence class
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2395-2403
Differentially Private Weighted Sampling
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2404-2412
Learning the Truth From Only One Side of the Story
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2413-2421
Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2422-2430
Bayesian Inference with Certifiable Adversarial Robustness
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2431-2439
Hierarchical Clustering in General Metric Spaces using Approximate Nearest Neighbors
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2440-2448
Statistical Guarantees for Transformation Based Models with applications to Implicit Variational Inference
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2449-2457
Reinforcement Learning for Mean Field Games with Strategic Complementarities
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2458-2466
Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2467-2475
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations?
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2476-2484
On the Consistency of Metric and Non-Metric K-Medoids
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2485-2493
[abs][Download PDF]
Non-Stationary Off-Policy Optimization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2494-2502
Efficient Interpolation of Density Estimators
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2503-2511
[abs][Download PDF]
A Statistical Perspective on Coreset Density Estimation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2512-2520
Shuffled Model of Differential Privacy in Federated Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2521-2529
CLAR: Contrastive Learning of Auditory Representations
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2530-2538
[abs][Download PDF]
Designing Transportable Experiments Under S-admissability
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2539-2547
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2548-2556
Private optimization without constraint violations
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2557-2565
Direct Loss Minimization for Sparse Gaussian Processes
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2566-2574
Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2575-2583
Linear Models are Robust Optimal Under Strategic Behavior
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2584-2592
Matérn Gaussian Processes on Graphs
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2593-2601
Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2602-2610
Evaluating Model Robustness and Stability to Dataset Shift
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2611-2619
Continuum-Armed Bandits: A Function Space Perspective
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2620-2628
[abs][Download PDF]
Regret-Optimal Filtering
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2629-2637
Evading the Curse of Dimensionality in Unconstrained Private GLMs
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2638-2646
One-Sketch-for-All: Non-linear Random Features from Compressed Linear Measurements
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2647-2655
Reinforcement Learning for Constrained Markov Decision Processes
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2656-2664
Principal Component Regression with Semirandom Observations via Matrix Completion
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2665-2673
Ridge Regression with Over-parametrized Two-Layer Networks Converge to Ridgelet Spectrum
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2674-2682
Right Decisions from Wrong Predictions: A Mechanism Design Alternative to Individual Calibration
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2683-2691
Sample Elicitation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2692-2700
Random Coordinate Underdamped Langevin Monte Carlo
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2701-2709
Influence Decompositions For Neural Network Attribution
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2710-2718
Variational inference for nonlinear ordinary differential equations
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2719-2727
Approximation Algorithms for Orthogonal Non-negative Matrix Factorization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2728-2736
Fast Adaptation with Linearized Neural Networks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2737-2745
Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2746-2754
A Change of Variables Method For Rectangular Matrix-Vector Products
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2755-2763
Provably Efficient Actor-Critic for Risk-Sensitive and Robust Adversarial RL: A Linear-Quadratic Case
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2764-2772
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2773-2781
Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2782-2790
Causal Inference with Selectively Deconfounded Data
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2791-2799
Animal pose estimation from video data with a hierarchical von Mises-Fisher-Gaussian model
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2800-2808
Mirror Descent View for Neural Network Quantization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2809-2817
Power of Hints for Online Learning with Movement Costs
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2818-2826
[abs][Download PDF]
Stochastic Bandits with Linear Constraints
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2827-2835
Significance of Gradient Information in Bayesian Optimization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2836-2844
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2845-2853
DAG-Structured Clustering by Nearest Neighbors
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2854-2862
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2863-2871
Follow Your Star: New Frameworks for Online Stochastic Matching with Known and Unknown Patience
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2872-2880
[abs][Download PDF]
Location Trace Privacy Under Conditional Priors
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2881-2889
Large Scale K-Median Clustering for Stable Clustering Instances
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2890-2898
[abs][Download PDF]
An Optimal Reduction of TV-Denoising to Adaptive Online Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2899-2907
Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2908-2916
Federated Multi-armed Bandits with Personalization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2917-2925
Hierarchical Inducing Point Gaussian Process for Inter-domian Observations
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2926-2934
Fast Statistical Leverage Score Approximation in Kernel Ridge Regression
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2935-2943
Dual Principal Component Pursuit for Learning a Union of Hyperplanes: Theory and Algorithms
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2944-2952
[abs][Download PDF]
Accumulations of Projections—A Unified Framework for Random Sketches in Kernel Ridge Regression
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2953-2961
Robust hypothesis testing and distribution estimation in Hellinger distance
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2962-2970
[abs][Download PDF]
Faster Kernel Interpolation for Gaussian Processes
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2971-2979
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2980-2988
Detection and Defense of Topological Adversarial Attacks on Graphs
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2989-2997
Training a Single Bandit Arm
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:2998-3006
Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3007-3015
Multi-Armed Bandits with Cost Subsidy
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3016-3024
Causal Modeling with Stochastic Confounders
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3025-3033
The Multiple Instance Learning Gaussian Process Probit Model
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3034-3042
Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3043-3051
Meta Learning in the Continuous Time Limit
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3052-3060
Fast and Smooth Interpolation on Wasserstein Space
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3061-3069
Efficient Balanced Treatment Assignments for Experimentation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3070-3078
Tensor Networks for Probabilistic Sequence Modeling
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3079-3087
Experimental Design for Regret Minimization in Linear Bandits
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3088-3096
DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3097-3105
Dynamic Cutset Networks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3106-3114
Associative Convolutional Layers
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3115-3123
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3124-3132
Kernel Interpolation for Scalable Online Gaussian Processes
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3133-3141
Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3142-3150
Contrastive learning of strong-mixing continuous-time stochastic processes
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3151-3159
TenIPS: Inverse Propensity Sampling for Tensor Completion
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3160-3168
Sketch based Memory for Neural Networks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3169-3177
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3178-3186
A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3187-3195
Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3196-3204
Principal Subspace Estimation Under Information Diffusion
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3205-3213
A Hybrid Approximation to the Marginal Likelihood
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3214-3222
Prediction with Finitely many Errors Almost Surely
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3223-3231
Density of States Estimation for Out of Distribution Detection
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3232-3240
Product Manifold Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3241-3249
[abs][Download PDF]
Automatic Differentiation Variational Inference with Mixtures
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3250-3258
Fair for All: Best-effort Fairness Guarantees for Classification
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3259-3267
Taming heavy-tailed features by shrinkage
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3268-3276
Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3277-3285
Comparing the Value of Labeled and Unlabeled Data in Method-of-Moments Latent Variable Estimation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3286-3294
Homeomorphic-Invariance of EM: Non-Asymptotic Convergence in KL Divergence for Exponential Families via Mirror Descent
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3295-3303
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3304-3312
Understanding Robustness in Teacher-Student Setting: A New Perspective
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3313-3321
Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3322-3330
Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3331-3339
Online Model Selection for Reinforcement Learning with Function Approximation
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3340-3348
Sampling in Combinatorial Spaces with SurVAE Flow Augmented MCMC
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3349-3357
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3358-3366
A Parameter-Free Algorithm for Misspecified Linear Contextual Bandits
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3367-3375
Good Classifiers are Abundant in the Interpolating Regime
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3376-3384
[abs][Download PDF]
No-Regret Reinforcement Learning with Heavy-Tailed Rewards
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3385-3393
[abs][Download PDF]
A Spectral Analysis of Dot-product Kernels
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3394-3402
[abs][Download PDF]
Towards Flexible Device Participation in Federated Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3403-3411
Active Learning under Label Shift
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3412-3420
Tracking Regret Bounds for Online Submodular Optimization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3421-3429
Offline detection of change-points in the mean for stationary graph signals.
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3430-3438
Hyperbolic graph embedding with enhanced semi-implicit variational inference.
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3439-3447
Rao-Blackwellised parallel MCMC
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3448-3456
Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3457-3465
Calibrated Adaptive Probabilistic ODE Solvers
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3466-3474
Online Robust Control of Nonlinear Systems with Large Uncertainty
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3475-3483
Probabilistic Sequential Matrix Factorization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3484-3492
An Analysis of LIME for Text Data
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3493-3501
Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3502-3510
Scalable Gaussian Process Variational Autoencoders
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3511-3519
Causal Autoregressive Flows
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3520-3528
Explore the Context: Optimal Data Collection for Context-Conditional Dynamics Models
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3529-3537
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3538-3546
Spectral Tensor Train Parameterization of Deep Learning Layers
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3547-3555
Local SGD: Unified Theory and New Efficient Methods
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3556-3564
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3565-3573
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3574-3582
The Base Measure Problem and its Solution
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3583-3591
[abs][Download PDF]
Revisiting Projection-free Online Learning: the Strongly Convex Case
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3592-3600
A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3601-3609
[abs][Download PDF]
Logistic Q-Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3610-3618
Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3619-3627
Sequential Random Sampling Revisited: Hidden Shuffle Method
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3628-3636
[abs][Download PDF]
Dirichlet Pruning for Convolutional Neural Networks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3637-3645
Couplings for Multinomial Hamiltonian Monte Carlo
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3646-3654
Learning Bijective Feature Maps for Linear ICA
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3655-3663
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3664-3672
One-pass Stochastic Gradient Descent in overparametrized two-layer neural networks
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3673-3681
On the Memory Mechanism of Tensor-Power Recurrent Models
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3682-3690
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3691-3699
Causal Inference under Networked Interference and Intervention Policy Enhancement
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3700-3708
GANs with Conditional Independence Graphs: On Subadditivity of Probability Divergences
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3709-3717
Latent Gaussian process with composite likelihoods and numerical quadrature
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3718-3726
Deep Generative Missingness Pattern-Set Mixture Models
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3727-3735
Minimax Estimation of Laplacian Constrained Precision Matrices
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3736-3744
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3745-3753
Distribution Regression for Sequential Data
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3754-3762
Completing the Picture: Randomized Smoothing Suffers from the Curse of Dimensionality for a Large Family of Distributions
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3763-3771
Direct-Search for a Class of Stochastic Min-Max Problems
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3772-3780
Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3781-3789
Learning Temporal Point Processes with Intermittent Observations
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3790-3798
[abs][Download PDF]
On the number of linear functions composing deep neural network: Towards a refined definition of neural networks complexity
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3799-3807
Robust Learning under Strong Noise via SQs
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3808-3816
Recovery Guarantees for Kernel-based Clustering under Non-parametric Mixture Models
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3817-3825
Convergence Properties of Stochastic Hypergradients
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3826-3834
Entropy Partial Transport with Tree Metrics: Theory and Practice
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3835-3843
Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3844-3852
Differentiable Divergences Between Time Series
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3853-3861
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3862-3870
Differentiating the Value Function by using Convex Duality
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3871-3879
Rate-Regularization and Generalization in Variational Autoencoders
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3880-3888
Asymptotics of Ridge(less) Regression under General Source Condition
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3889-3897
Longitudinal Variational Autoencoder
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3898-3906
An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3907-3915
Model updating after interventions paradoxically introduces bias
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3916-3924
On Multilevel Monte Carlo Unbiased Gradient Estimation for Deep Latent Variable Models
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3925-3933
Flow-based Alignment Approaches for Probability Measures in Different Spaces
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3934-3942
LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3943-3951
Learning Shared Subgraphs in Ising Model Pairs
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3952-3960
Faster & More Reliable Tuning of Neural Networks: Bayesian Optimization with Importance Sampling
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3961-3969
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3970-3978
Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3979-3987
Improved Exploration in Factored Average-Reward MDPs
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3988-3996
Toward a General Theory of Online Selective Sampling: Trading Off Mistakes and Queries
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:3997-4005
Regularized ERM on random subspaces
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:4006-4014
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:4015-4023
Meta-Learning Divergences for Variational Inference
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:4024-4032
Hidden Cost of Randomized Smoothing
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:4033-4041
Critical Parameters for Scalable Distributed Learning with Large Batches and Asynchronous Updates
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:4042-4050
Improving Classifier Confidence using Lossy Label-Invariant Transformations
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:4051-4059
Graph Gamma Process Linear Dynamical Systems
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:4060-4068
Does Invariant Risk Minimization Capture Invariance?
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:4069-4077
A unified view of likelihood ratio and reparameterization gradients
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:4078-4086
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free!
; Proceedings of The 24th International Conference on Artificial Intelligence and Statistics, PMLR 130:4087-4095
subscribe via RSS