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Statistical Learning

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Post-selection inference with HSIC-Lasso ICML 2021
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks ICML 2021
Differentially Private Quantiles ICML 2021
Active Slices for Sliced Stein Discrepancy ICML 2021
Detecting Rewards Deterioration in Episodic Reinforcement Learning ICML 2021
Crystallization Learning with the Delaunay Triangulation ICML 2021
Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting ICML 2021
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference ICML 2021
Compressed Maximum Likelihood ICML 2021
Model Performance Scaling with Multiple Data Sources ICML 2021
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free ICML 2021
Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction ICML 2021
Efficient Statistical Tests: A Neural Tangent Kernel Approach ICML 2021
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs ICML 2021
Detection of Signal in the Spiked Rectangular Models ICML 2021
Optimal Off-Policy Evaluation from Multiple Logging Policies ICML 2021
Statistical Estimation from Dependent Data ICML 2021
Off-Policy Confidence Sequences ICML 2021
Implicit rate-constrained optimization of non-decomposable objectives ICML 2021
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study ICML 2021
Sharper Generalization Bounds for Clustering ICML 2021
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator ICML 2021
On Robust Mean Estimation under Coordinate-level Corruption ICML 2021
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction ICML 2021