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Volume 108: International Conference on Artificial Intelligence and Statistics, 26-28 August 2020, Online
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Editors: Silvia Chiappa, Roberto Calandra
Linearly Convergent Frank-Wolfe with Backtracking Line-Search
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1-10
Guarantees of Stochastic Greedy Algorithms for Non-monotone Submodular Maximization with Cardinality Constraint
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:11-21
On Maximization of Weakly Modular Functions: Guarantees of Multi-stage Algorithms, Tractability, and Hardness
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:22-33
Adaptive Trade-Offs in Off-Policy Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:34-44
Conditional Importance Sampling for Off-Policy Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:45-55
Multiplicative Gaussian Particle Filter
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:56-65
Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:66-76
Fast and Accurate Ranking Regression
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:77-88
Tight Analysis of Privacy and Utility Tradeoff in Approximate Differential Privacy
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:89-99
Long-and Short-Term Forecasting for Portfolio Selection with Transaction Costs
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:100-110
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Nonparametric Sequential Prediction While Deep Learning the Kernel
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:111-121
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Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:122-132
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A Double Residual Compression Algorithm for Efficient Distributed Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:133-143
Asynchronous Gibbs Sampling
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:144-154
Learning Fair Representations for Kernel Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:155-166
A Nonparametric Off-Policy Policy Gradient
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:167-177
Non-Parametric Calibration for Classification
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:178-190
Minimax Testing of Identity to a Reference Ergodic Markov Chain
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:191-201
A Linear-time Independence Criterion Based on a Finite Basis Approximation
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:202-212
Minimax Bounds for Structured Prediction Based on Factor Graphs
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:213-222
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On the Convergence of SARAH and Beyond
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:223-233
Uncertainty in Neural Networks: Approximately Bayesian Ensembling
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:234-244
LIBRE: Learning Interpretable Boolean Rule Ensembles
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:245-255
Marginal Densities, Factor Graph Duality, and High-Temperature Series Expansions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:256-265
Neighborhood Growth Determines Geometric Priors for Relational Representation Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:266-276
Fair Decisions Despite Imperfect Predictions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:277-287
A Characterization of Mean Squared Error for Estimator with Bagging
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:288-297
Uncertainty Quantification for Sparse Deep Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:298-308
Minimizing Dynamic Regret and Adaptive Regret Simultaneously
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:309-319
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A Stein Goodness-of-fit Test for Directional Distributions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:320-330
Unsupervised Neural Universal Denoiser for Finite-Input General-Output Noisy Channel
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:331-340
Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:341-351
Robust Importance Weighting for Covariate Shift
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:352-362
Adaptive Online Kernel Sampling for Vertex Classification
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:363-373
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A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:374-385
Stopping criterion for active learning based on deterministic generalization bounds
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:386-397
Ivy: Instrumental Variable Synthesis for Causal Inference
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:398-410
High Dimensional Robust Sparse Regression
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:411-421
Nested-Wasserstein Self-Imitation Learning for Sequence Generation
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:422-433
Greed Meets Sparsity: Understanding and Improving Greedy Coordinate Descent for Sparse Optimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:434-444
Recommendation on a Budget: Column Space Recovery from Partially Observed Entries with Random or Active Sampling
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:445-455
Fast Noise Removal for k-Means Clustering
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:456-466
Sketching Transformed Matrices with Applications to Natural Language Processing
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:467-481
Unconditional Coresets for Regularized Loss Minimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:482-492
ASAP: Architecture Search, Anneal and Prune
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:493-503
Understanding Generalization in Deep Learning via Tensor Methods
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:504-515
Accelerating Gradient Boosting Machines
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:516-526
Online Binary Space Partitioning Forests
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:527-537
Sparse Hilbert-Schmidt Independence Criterion Regression
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:538-548
Sharp Thresholds of the Information Cascade Fragility Under a Mismatched Model
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:549-558
Optimal sampling in unbiased active learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:559-569
The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth measure
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:570-579
Diameter-based Interactive Structure Discovery
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:580-590
Utility/Privacy Trade-off through the lens of Optimal Transport
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:591-601
A Lyapunov analysis for accelerated gradient methods: from deterministic to stochastic case
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:602-612
Interpretable Deep Gaussian Processes with Moments
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:613-623
Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:624-634
Accelerated Bayesian Optimisation through Weight-Prior Tuning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:635-645
Variance Reduction for Evolution Strategies via Structured Control Variates
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:646-656
Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:657-668
Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:669-679
A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:680-690
Entropy Weighted Power k-Means Clustering
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:691-701
Identifying and Correcting Label Bias in Machine Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:702-712
AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:713-723
Active Community Detection with Maximal Expected Model Change
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:724-734
RCD: Repetitive causal discovery of linear non-Gaussian acyclic models with latent confounders
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:735-745
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A Simple Approach for Non-stationary Linear Bandits
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:746-755
Distributionally Robust Formulation and Model Selection for the Graphical Lasso
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:756-765
Efficient Spectrum-Revealing CUR Matrix Decomposition
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:766-775
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:776-787
Characterization of Overlap in Observational Studies
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:788-798
Modular Block-diagonal Curvature Approximations for Feedforward Architectures
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:799-808
A Unified Statistically Efficient Estimation Framework for Unnormalized Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:809-819
More Powerful Selective Kernel Tests for Feature Selection
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:820-830
Imputation estimators for unnormalized models with missing data
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:831-841
Wasserstein Style Transfer
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:842-852
Elimination of All Bad Local Minima in Deep Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:853-863
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:864-874
Formal Limitations on the Measurement of Mutual Information
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:875-884
Scalable Feature Selection for (Multitask) Gradient Boosted Trees
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:885-894
Model-Agnostic Counterfactual Explanations for Consequential Decisions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:895-905
Obfuscation via Information Density Estimation
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:906-917
Linear Dynamics: Clustering without identification
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:918-929
Low-rank regularization and solution uniqueness in over-parameterized matrix sensing
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:930-940
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Robustness for Non-Parametric Classification: A Generic Attack and Defense
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:941-951
Contextual Online False Discovery Rate Control
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:952-961
Sequential no-Substitution k-Median-Clustering
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:962-972
Robust Learning from Discriminative Feature Feedback
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:973-982
Hermitian matrices for clustering directed graphs: insights and applications
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:983-992
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Kernel Conditional Density Operators
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:993-1004
Learning Overlapping Representations for the Estimation of Individualized Treatment Effects
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1005-1014
Additive Tree-Structured Covariance Function for Conditional Parameter Spaces in Bayesian Optimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1015-1025
Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1026-1035
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The Fast Loaded Dice Roller: A Near-Optimal Exact Sampler for Discrete Probability Distributions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1036-1046
A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1047-1057
Black Box Submodular Maximization: Discrete and Continuous Settings
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1058-1070
Corruption-Tolerant Gaussian Process Bandit Optimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1071-1081
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1082-1092
Alternating Minimization Converges Super-Linearly for Mixed Linear Regression
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1093-1103
Learning Gaussian Graphical Models via Multiplicative Weights
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1104-1114
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1115-1125
Infinitely deep neural networks as diffusion processes
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1126-1136
Stable behaviour of infinitely wide deep neural networks
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1137-1146
Neural Topic Model with Attention for Supervised Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1147-1156
Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1157-1167
Stochastic Bandits with Delay-Dependent Payoffs
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1168-1177
Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1178-1187
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Balancing Learning Speed and Stability in Policy Gradient via Adaptive Exploration
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1188-1199
Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1200-1210
A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1211-1221
Regularity as Regularization: Smooth and Strongly Convex Brenier Potentials in Optimal Transport
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1222-1232
On Generalization Bounds of a Family of Recurrent Neural Networks
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1233-1243
Simulator Calibration under Covariate Shift with Kernels
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1244-1253
Convergence Rates of Gradient Descent and MM Algorithms for Bradley-Terry Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1254-1264
A Locally Adaptive Bayesian Cubature Method
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1265-1275
Fast and Bayes-consistent nearest neighbors
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1276-1286
Explaining the Explainer: A First Theoretical Analysis of LIME
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1287-1296
A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1297-1307
Deep Active Learning: Unified and Principled Method for Query and Training
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1308-1318
Sparse and Low-rank Tensor Estimation via Cubic Sketchings
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1319-1330
A nonasymptotic law of iterated logarithm for general M-estimators
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1331-1341
Robust Stackelberg buyers in repeated auctions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1342-1351
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1352-1362
Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1363-1374
Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1375-1386
Two-sample Testing Using Deep Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1387-1398
RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1399-1409
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Rep the Set: Neural Networks for Learning Set Representations
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1410-1420
A Multiclass Classification Approach to Label Ranking
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1421-1430
Conservative Exploration in Reinforcement Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1431-1441
A principled approach for generating adversarial images under non-smooth dissimilarity metrics
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1442-1452
Regularization via Structural Label Smoothing
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1453-1463
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1464-1474
Linear Convergence of Adaptive Stochastic Gradient Descent
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1475-1485
Contextual Combinatorial Volatile Multi-armed Bandit with Adaptive Discretization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1486-1496
A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1497-1507
Bandit Convex Optimization in Non-stationary Environments
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1508-1518
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Decentralized Multi-player Multi-armed Bandits with No Collision Information
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1519-1528
Bayesian Image Classification with Deep Convolutional Gaussian Processes
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1529-1539
Optimizing Millions of Hyperparameters by Implicit Differentiation
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1540-1552
A Topology Layer for Machine Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1553-1563
Differentiable Feature Selection by Discrete Relaxation
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1564-1572
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Private Protocols for U-Statistics in the Local Model and Beyond
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1573-1583
Automatic Differentiation of Some First-Order Methods in Parametric Optimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1584-1594
DYNOTEARS: Structure Learning from Time-Series Data
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1595-1605
Unsupervised Hierarchy Matching with Optimal Transport over Hyperbolic Spaces
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1606-1617
Competing Bandits in Matching Markets
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1618-1628
Revisiting the Landscape of Matrix Factorization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1629-1638
Value Preserving State-Action Abstractions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1639-1650
GP-VAE: Deep Probabilistic Time Series Imputation
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1651-1661
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1662-1672
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Optimized Score Transformation for Fair Classification
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1673-1683
Variational Autoencoders for Sparse and Overdispersed Discrete Data
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1684-1694
Spatio-temporal alignments: Optimal transport through space and time
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1695-1704
Accelerating Smooth Games by Manipulating Spectral Shapes
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1705-1715
Langevin Monte Carlo without smoothness
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1716-1726
EM Converges for a Mixture of Many Linear Regressions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1727-1736
Locally Accelerated Conditional Gradients
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1737-1747
Coping With Simulators That Don’t Always Return
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1748-1758
Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1759-1769
Equalized odds postprocessing under imperfect group information
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1770-1780
The True Sample Complexity of Identifying Good Arms
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1781-1791
Validated Variational Inference via Practical Posterior Error Bounds
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1792-1802
A Rule for Gradient Estimator Selection, with an Application to Variational Inference
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1803-1812
Naive Feature Selection: Sparsity in Naive Bayes
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1813-1822
Fixed-confidence guarantees for Bayesian best-arm identification
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1823-1832
Learning Hierarchical Interactions at Scale: A Convex Optimization Approach
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1833-1843
OSOM: A simultaneously optimal algorithm for multi-armed and linear contextual bandits
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1844-1854
Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1855-1865
Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1866-1876
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1877-1887
Dynamical Systems Theory for Causal Inference with Application to Synthetic Control Methods
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1888-1898
RelatIF: Identifying Explanatory Training Samples via Relative Influence
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1899-1909
Ensemble Gaussian Processes with Spectral Features for Online Interactive Learning with Scalability
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1910-1920
Distributionally Robust Bayesian Quadrature Optimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1921-1931
Sparse Orthogonal Variational Inference for Gaussian Processes
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1932-1942
The Sylvester Graphical Lasso (SyGlasso)
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1943-1953
Frequentist Regret Bounds for Randomized Least-Squares Value Iteration
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1954-1964
DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1965-1976
Discrete Action On-Policy Learning with Action-Value Critic
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1977-1987
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1988-1998
Thompson Sampling for Linearly Constrained Bandits
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:1999-2009
Sample Complexity of Reinforcement Learning using Linearly Combined Model Ensembles
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2010-2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2021-2031
Online Learning Using Only Peer Prediction
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2032-2042
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Deontological Ethics By Monotonicity Shape Constraints
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2043-2054
On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2055-2065
Randomized Exploration in Generalized Linear Bandits
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2066-2076
Assessing Local Generalization Capability in Deep Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2077-2087
Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2088-2097
Adaptive Discretization for Evaluation of Probabilistic Cost Functions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2098-2108
Censored Quantile Regression Forest
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2109-2119
Choosing the Sample with Lowest Loss makes SGD Robust
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2120-2130
Learning with minibatch Wasserstein : asymptotic and gradient properties
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2131-2141
AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2142-2152
On casting importance weighted autoencoder to an EM algorithm to learn deep generative models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2153-2163
Conditional Linear Regression
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2164-2173
Distributionally Robust Bayesian Optimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2174-2184
On the optimality of kernels for high-dimensional clustering
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2185-2195
Improved Regret Bounds for Projection-free Bandit Convex Optimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2196-2206
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Variational Autoencoders and Nonlinear ICA: A Unifying Framework
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2207-2217
Online Learning with Continuous Variations: Dynamic Regret and Reductions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2218-2228
An Optimal Algorithm for Bandit Convex Optimization with Strongly-Convex and Smooth Loss
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2229-2239
A Deep Generative Model for Fragment-Based Molecule Generation
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2240-2250
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Deep Structured Mixtures of Gaussian Processes
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2251-2261
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2262-2272
Dependent randomized rounding for clustering and partition systems with knapsack constraints
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2273-2283
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Domain-Liftability of Relational Marginal Polytopes
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2284-2292
Derivative-Free & Order-Robust Optimisation
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2293-2303
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2304-2314
Dynamic content based ranking
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2315-2324
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Fairness Evaluation in Presence of Biased Noisy Labels
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2325-2336
Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2337-2347
Decentralized gradient methods: does topology matter?
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2348-2358
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2359-2369
Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2370-2380
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2381-2391
Stochastic Linear Contextual Bandits with Diverse Contexts
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2392-2401
Purifying Interaction Effects with the Functional ANOVA: An Efficient Algorithm for Recovering Identifiable Additive Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2402-2412
Balanced Off-Policy Evaluation in General Action Spaces
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2413-2423
Approximate Cross-Validation in High Dimensions with Guarantees
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2424-2434
How fine can fine-tuning be? Learning efficient language models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2435-2443
Interpretable Companions for Black-Box Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2444-2454
A PTAS for the Bayesian Thresholding Bandit Problem
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2455-2464
Learning Rate Adaptation for Differentially Private Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2465-2475
Thresholding Graph Bandits with GrAPL
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2476-2485
Bandit optimisation of functions in the Matérn kernel RKHS
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2486-2495
Hypothesis Testing Interpretations and Renyi Differential Privacy
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2496-2506
Lipschitz Continuous Autoencoders in Application to Anomaly Detection
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2507-2517
Private k-Means Clustering with Stability Assumptions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2518-2528
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Momentum in Reinforcement Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2529-2538
A Primal-Dual Solver for Large-Scale Tracking-by-Assignment
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2539-2549
Precision-Recall Curves Using Information Divergence Frontiers
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2550-2559
Computing Tight Differential Privacy Guarantees Using FFT
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2560-2569
Hyperbolic Manifold Regression
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2570-2580
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Approximate Inference with Wasserstein Gradient Flows
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2581-2590
Thresholding Bandit Problem with Both Duels and Pulls
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2591-2600
GAIT: A Geometric Approach to Information Theory
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2601-2611
On Thompson Sampling for Smoother-than-Lipschitz Bandits
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2612-2622
Safe-Bayesian Generalized Linear Regression
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2623-2633
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2634-2644
Contextual Constrained Learning for Dose-Finding Clinical Trials
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2645-2654
Support recovery and sup-norm convergence rates for sparse pivotal estimation
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2655-2665
Learning Entangled Single-Sample Distributions via Iterative Trimming
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2666-2676
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The Quantile Snapshot Scan: Comparing Quantiles of Spatial Data from Two Snapshots in Time
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2677-2686
Statistical guarantees for local graph clustering
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2687-2697
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Learning High-dimensional Gaussian Graphical Models under Total Positivity without Adjustment of Tuning Parameters
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2698-2708
On Pruning for Score-Based Bayesian Network Structure Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2709-2718
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Statistical and Computational Rates in Graph Logistic Regression
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2719-2730
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2731-2741
Rk-means: Fast Clustering for Relational Data
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2742-2752
Statistical Estimation of the Poincaré constant and Application to Sampling Multimodal Distributions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2753-2763
Integrals over Gaussians under Linear Domain Constraints
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2764-2774
Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2775-2785
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2786-2796
MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2797-2807
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2808-2818
Robust Optimisation Monte Carlo
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2819-2829
Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2830-2840
Fast Markov chain Monte Carlo algorithms via Lie groups
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2841-2851
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2852-2862
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2863-2873
Doubly Sparse Variational Gaussian Processes
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2874-2884
Online Convex Optimization with Perturbed Constraints: Optimal Rates against Stronger Benchmarks
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2885-2895
Persistence Enhanced Graph Neural Network
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2896-2906
Feature relevance quantification in explainable AI: A causal problem
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2907-2916
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Neural Decomposition: Functional ANOVA with Variational Autoencoders
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2917-2927
BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2928-2937
How To Backdoor Federated Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2938-2948
Exploiting Categorical Structure Using Tree-Based Methods
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2949-2958
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A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2959-2969
Mixed Strategies for Robust Optimization of Unknown Objectives
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2970-2980
Functional Gradient Boosting for Learning Residual-like Networks with Statistical Guarantees
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2981-2991
Solving Discounted Stochastic Two-Player Games with Near-Optimal Time and Sample Complexity
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:2992-3002
Convergence Rates of Smooth Message Passing with Rounding in Entropy-Regularized MAP Inference
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3003-3014
Finite-Time Error Bounds for Biased Stochastic Approximation with Applications to Q-Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3015-3024
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3025-3035
Bayesian Reinforcement Learning via Deep, Sparse Sampling
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3036-3045
Deterministic Decoding for Discrete Data in Variational Autoencoders
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3046-3056
Monotonic Gaussian Process Flows
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3057-3067
Flexible distribution-free conditional predictive bands using density estimators
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3068-3077
Variational Integrator Networks for Physically Structured Embeddings
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3078-3087
Black-Box Inference for Non-Linear Latent Force Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3088-3098
Importance Sampling via Local Sensitivity
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3099-3109
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3110-3120
Bisect and Conquer: Hierarchical Clustering via Max-Uncut Bisection
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3121-3132
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Laplacian-Regularized Graph Bandits: Algorithms and Theoretical Analysis
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3133-3143
Enriched mixtures of generalised Gaussian process experts
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3144-3154
Causal Bayesian Optimization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3155-3164
Linear predictor on linearly-generated data with missing values: non consistency and solutions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3165-3174
A Novel Confidence-Based Algorithm for Structured Bandits
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3175-3185
Quantitative stability of optimal transport maps and linearization of the 2-Wasserstein space
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3186-3196
Bayesian experimental design using regularized determinantal point processes
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3197-3207
Non-exchangeable feature allocation models with sublinear growth of the feature sizes
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3208-3218
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3219-3229
Inference of Dynamic Graph Changes for Functional Connectome
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3230-3240
An approximate KLD based experimental design for models with intractable likelihoods
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3241-3251
Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3252-3262
“Bring Your Own Greedy”+Max: Near-Optimal 1/2-Approximations for Submodular Knapsack
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3263-3274
Sample complexity bounds for localized sketching
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3275-3284
An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3285-3294
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3295-3305
Tensorized Random Projections
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3306-3316
Nonparametric Estimation in the Dynamic Bradley-Terry Model
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3317-3326
Gaussian-Smoothed Optimal Transport: Metric Structure and Statistical Efficiency
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3327-3337
Learning in Gated Neural Networks
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3338-3348
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3349-3361
Fenchel Lifted Networks: A Lagrange Relaxation of Neural Network Training
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3362-3371
Adversarial Robustness Guarantees for Classification with Gaussian Processes
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3372-3382
Causal inference in degenerate systems: An impossibility result
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3383-3392
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3393-3403
Local Differential Privacy for Sampling
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3404-3413
Learning Sparse Nonparametric DAGs
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3414-3425
Minimax Rank-$1$ Matrix Factorization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3426-3436
Context Mover’s Distance & Barycenters: Optimal Transport of Contexts for Building Representations
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3437-3449
Data Generation for Neural Programming by Example
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3450-3459
An Inverse-free Truncated Rayleigh-Ritz Method for Sparse Generalized Eigenvalue Problem
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3460-3470
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3471-3481
Understanding the Effects of Batching in Online Active Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3482-3492
Adaptive multi-fidelity optimization with fast learning rates
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3493-3502
On the interplay between noise and curvature and its effect on optimization and generalization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3503-3513
A Reduction from Reinforcement Learning to No-Regret Online Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3514-3524
The Implicit Regularization of Ordinary Least Squares Ensembles
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3525-3535
Adaptive Exploration in Linear Contextual Bandit
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3536-3545
A Three Sample Hypothesis Test for Evaluating Generative Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3546-3556
Learning Ising and Potts Models with Latent Variables
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3557-3566
Learning piecewise Lipschitz functions in changing environments
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3567-3577
POPCORN: Partially Observed Prediction Constrained Reinforcement Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3578-3588
Optimal Approximation of Doubly Stochastic Matrices
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3589-3598
The Expressive Power of a Class of Normalizing Flow Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3599-3609
Screening Data Points in Empirical Risk Minimization via Ellipsoidal Regions and Safe Loss Functions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3610-3620
An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3621-3631
Amortized Inference of Variational Bounds for Learning Noisy-OR
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3632-3641
Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3642-3652
Logistic regression with peer-group effects via inference in higher-order Ising models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3653-3663
An Asymptotic Rate for the LASSO Loss
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3664-3673
Constructing a provably adversarially-robust classifier from a high accuracy one
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3674-3684
Distributed, partially collapsed MCMC for Bayesian Nonparametrics
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3685-3695
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3696-3706
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3707-3716
Prophets, Secretaries, and Maximizing the Probability of Choosing the Best
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3717-3727
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3728-3738
Sharp Asymptotics and Optimal Performance for Inference in Binary Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3739-3749
A Theoretical Case Study of Structured Variational Inference for Community Detection
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3750-3761
Orthogonal Gradient Descent for Continual Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3762-3773
Hamiltonian Monte Carlo Swindles
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3774-3783
A single algorithm for both restless and rested rotting bandits
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3784-3794
Adversarial Robustness of Flow-Based Generative Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3795-3805
The Power of Batching in Multiple Hypothesis Testing
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3806-3815
Adversarial Risk Bounds through Sparsity based Compression
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3816-3825
Learning spectrograms with convolutional spectral kernels
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3826-3836
Federated Heavy Hitters Discovery with Differential Privacy
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3837-3847
Online Batch Decision-Making with High-Dimensional Covariates
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3848-3857
Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3858-3869
Scalable Gradients for Stochastic Differential Equations
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3870-3882
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3883-3893
Uncertainty Quantification for Deep Context-Aware Mobile Activity Recognition and Unknown Context Discovery
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3894-3904
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Learnable Bernoulli Dropout for Bayesian Deep Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3905-3916
General Identification of Dynamic Treatment Regimes Under Interference
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3917-3927
Gaussian Sketching yields a J-L Lemma in RKHS
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3928-3937
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3938-3947
Asymptotically Efficient Off-Policy Evaluation for Tabular Reinforcement Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3948-3958
Learning Dynamic Hierarchical Topic Graph with Graph Convolutional Network for Document Classification
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3959-3969
Differentiable Causal Backdoor Discovery
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3970-3979
Stochastic Recursive Variance-Reduced Cubic Regularization Methods
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3980-3990
Better Long-Range Dependency By Bootstrapping A Mutual Information Regularizer
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:3991-4001
On the Completeness of Causal Discovery in the Presence of Latent Confounding with Tiered Background Knowledge
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4002-4011
One Sample Stochastic Frank-Wolfe
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4012-4023
Convex Geometry of Two-Layer ReLU Networks: Implicit Autoencoding and Interpretable Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4024-4033
A Robust Univariate Mean Estimator is All You Need
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4034-4044
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4045-4055
Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4056-4066
Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4067-4077
A Diversity-aware Model for Majority Vote Ensemble Accuracy
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4078-4087
Scaling up Kernel Ridge Regression via Locality Sensitive Hashing
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4088-4097
Ordering-Based Causal Structure Learning in the Presence of Latent Variables
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4098-4108
Budget Learning via Bracketing
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4109-4119
Optimal Algorithms for Multiplayer Multi-Armed Bandits
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4120-4129
AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4130-4140
Optimal Deterministic Coresets for Ridge Regression
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4141-4150
Expressiveness and Learning of Hidden Quantum Markov Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4151-4161
Solving the Robust Matrix Completion Problem via a System of Nonlinear Equations
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4162-4172
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4173-4183
Stochastic Neural Network with Kronecker Flow
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4184-4194
Fair Correlation Clustering
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4195-4205
Towards Competitive N-gram Smoothing
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4206-4215
Multi-level Gaussian Graphical Models Conditional on Covariates
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4216-4225
Semi-Modular Inference: enhanced learning in multi-modular models by tempering the influence of components
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4226-4235
Invertible Generative Modeling using Linear Rational Splines
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4236-4246
LdSM: Logarithm-depth Streaming Multi-label Decision Trees
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4247-4257
Prior-aware Composition Inference for Spectral Topic Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4258-4268
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Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4269-4280
Best-item Learning in Random Utility Models with Subset Choices
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4281-4291
Regularized Autoencoders via Relaxed Injective Probability Flow
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4292-4301
Stochastic Variance-Reduced Algorithms for PCA with Arbitrary Mini-Batch Sizes
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4302-4312
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4313-4324
Scalable Nonparametric Factorization for High-Order Interaction Events
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4325-4335
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Gaussianization Flows
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4336-4345
Adaptive, Distribution-Free Prediction Intervals for Deep Networks
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4346-4356
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4357-4366
Automatic Differentiation of Sketched Regression
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4367-4376
Sublinear Optimal Policy Value Estimation in Contextual Bandits
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4377-4387
Budget-Constrained Bandits over General Cost and Reward Distributions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4388-4398
Measuring Mutual Information Between All Pairs of Variables in Subquadratic Complexity
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4399-4409
Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4410-4419
Prediction Focused Topic Models via Feature Selection
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4420-4429
Accelerated Factored Gradient Descent for Low-Rank Matrix Factorization
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4430-4440
Structured Conditional Continuous Normalizing Flows for Efficient Amortized Inference in Graphical Models
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4441-4451
Graph Coarsening with Preserved Spectral Properties
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4452-4462
A Theoretical and Practical Framework for Regression and Classification from Truncated Samples
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4463-4473
Permutation Invariant Graph Generation via Score-Based Generative Modeling
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4474-4484
Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4485-4495
Multi-attribute Bayesian optimization with interactive preference learning
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4496-4507
On the Sample Complexity of Learning Sum-Product Networks
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4508-4518
Tighter Theory for Local SGD on Identical and Heterogeneous Data
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4519-4529
Approximate Cross-validation: Guarantees for Model Assessment and Selection
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4530-4540
On Minimax Optimality of GANs for Robust Mean Estimation
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4541-4551
Auditing ML Models for Individual Bias and Unfairness
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4552-4562
Stein Variational Inference for Discrete Distributions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4563-4572
Revisiting Stochastic Extragradient
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4573-4582
A Framework for Sample Efficient Interval Estimation with Control Variates
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4583-4592
Nonmyopic Gaussian Process Optimization with Macro-Actions
; Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, PMLR 108:4593-4604
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