Statistical Learning

Robust Kernel Density Estimation with Median-of-Means principle ICML 2022 Robust Model Selection and Nearly-Proper Learning for GMMs NeurIPS 2022 Robustness Implies Generalization via Data-Dependent Generalization Bounds ICML 2022 Robust Sparse Mean Estimation via Sum of Squares COLT 2022 Robust Testing in High-Dimensional Sparse Models NeurIPS 2022 Sample Selection with Uncertainty of Losses for Learning with Noisy Labels ICLR 2022 Scalable and Efficient Hypothesis Testing with Random Forests JMLR 2022 Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions NeurIPS 2022 Scaling Laws from the Data Manifold Dimension JMLR 2022 Searching for a Higher Power in the Human Evaluation of MT EMNLP 2022 Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable JMLR 2022 Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables JMLR 2022 Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models ACL 2022 Sequential algorithmic modification with test data reuse UAI 2022 SHAFF: Fast and consistent SHApley eFfect estimates via random Forests AISTATS 2022 Signature Moments to Characterize Laws of Stochastic Processes JMLR 2022 Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent NeurIPS 2022 Spectral risk-based learning using unbounded losses AISTATS 2022 Spiked Covariance Estimation from Modulo-Reduced Measurements AISTATS 2022 Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables NeurIPS 2022 SQ Lower Bounds for Learning Single Neurons with Massart Noise NeurIPS 2022 SSR: Utilizing Simplified Stance Reasoning Process for Robust Stance Detection COLING 2022 Stability and Generalization for Markov Chain Stochastic Gradient Methods NeurIPS 2022 Stability Based Generalization Bounds for Exponential Family Langevin Dynamics ICML 2022 Stability of SGD: Tightness analysis and improved bounds UAI 2022