Statistical Learning

When Does Optimizing a Proper Loss Yield Calibration? NeurIPS 2023 When Do Neural Nets Outperform Boosted Trees on Tabular Data? NeurIPS 2023 When is Agnostic Reinforcement Learning Statistically Tractable? NeurIPS 2023 "Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts ICML 2023 A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds AISTATS 2022 Achieving Minimax Rates in Pool-Based Batch Active Learning ICML 2022 A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality AISTATS 2022 A Comparison of Hamming Errors of Representative Variable Selection Methods ICLR 2022 A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension NeurIPS 2022 Acquisition of allophonic variation in second language speech: An acoustic and articulatory study of English laterals by Japanese speakers Interspeech 2022 Active Learning with Neural Networks: Insights from Nonparametric Statistics NeurIPS 2022 Adaptive A/B Test on Networks with Cluster Structures AISTATS 2022 Adaptive Data Analysis with Correlated Observations ICML 2022 Adaptive Gaussian Process Change Point Detection ICML 2022 Adaptive Greedy Algorithm for Moderately Large Dimensions in Kernel Conditional Density Estimation JMLR 2022 A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training NeurIPS 2022 Additive Nonlinear Quantile Regression in Ultra-high Dimension JMLR 2022 A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence AISTATS 2022 A Distribution Free Conditional Independence Test with Applications to Causal Discovery JMLR 2022 Advantage of Deep Neural Networks for Estimating Functions with Singularity on Hypersurfaces JMLR 2022 Adversarial Attack and Defense for Non-Parametric Two-Sample Tests ICML 2022 Adversarially Robust Conformal Prediction ICLR 2022 Affective Idiosyncratic Responses to Music EMNLP 2022 A Fourier Approach to Mixture Learning NeurIPS 2022 A General Framework for Auditing Differentially Private Machine Learning NeurIPS 2022