Statistical Learning

Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness COLT 2023 Minimax Nonparametric Two-Sample Test under Adversarial Losses AISTATS 2023 Minimax Optimal Kernel Operator Learning via Multilevel Training ICLR 2023 Minimax-Optimal Location Estimation NeurIPS 2023 Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models NeurIPS 2023 Minimax optimal testing by classification COLT 2023 Minimax Risk Classifiers with 0-1 Loss JMLR 2023 Minimum Description Length and Generalization Guarantees for Representation Learning NeurIPS 2023 Minimum-Risk Recalibration of Classifiers NeurIPS 2023 Mixed-Effect Thompson Sampling AISTATS 2023 Mixture Proportion Estimation Beyond Irreducibility ICML 2023 MMD Aggregated Two-Sample Test JMLR 2023 Model-agnostic Measure of Generalization Difficulty ICML 2023 Model Analysis & Evaluation for Ambiguous Question Answering ACL 2023 Model-Free Reinforcement Learning with the Decision-Estimation Coefficient NeurIPS 2023 Modeling Human Trust and Reliance in AI-Assisted Decision Making: A Markovian Approach AAAI 2023 Model-X Sequential Testing for Conditional Independence via Testing by Betting AISTATS 2023 Modular Regression: Improving Linear Models by Incorporating Auxiliary Data JMLR 2023 Moments, Random Walks, and Limits for Spectrum Approximation COLT 2023 More for Less: Safe Policy Improvement with Stronger Performance Guarantees IJCAI 2023 MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation ACL 2023 Multi-Agent Best Arm Identification with Private Communications ICML 2023 Multi-armed Bandit Experimental Design: Online Decision-making and Adaptive Inference AISTATS 2023 Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance AAAI 2023 Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions NeurIPS 2023