Statistical Learning

Stable Conformal Prediction Sets ICML 2022 Statistical and Computational Phase Transitions in Group Testing COLT 2022 Statistical and computational thresholds for the planted k-densest sub-hypergraph problem AISTATS 2022 Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert ICML 2022 Statistical Learning and Inverse Problems: A Stochastic Gradient Approach NeurIPS 2022 Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers NeurIPS 2022 Statistical Rates of Convergence for Functional Partially Linear Support Vector Machines for Classification JMLR 2022 Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances NeurIPS 2022 Stop Measuring Calibration When Humans Disagree EMNLP 2022 Streaming Algorithms for High-Dimensional Robust Statistics ICML 2022 Strength of Minibatch Noise in SGD ICLR 2022 Strong Gaussian Approximation for the Sum of Random Vectors COLT 2022 Structure-adaptive Manifold Estimation JMLR 2022 Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation ICML 2022 Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap NeurIPS 2022 Subspace Recovery from Heterogeneous Data with Non-isotropic Noise NeurIPS 2022 Sufficient reductions in regression with mixed predictors JMLR 2022 Supervised Learning with General Risk Functionals ICML 2022 Target alignment in truncated kernel ridge regression NeurIPS 2022 Testing Granger Non-Causality in Panels with Cross-Sectional Dependencies AISTATS 2022 Testing Whether a Learning Procedure is Calibrated JMLR 2022 Text Characterization Toolkit (TCT) AACL 2022 The AIM and EM Algorithms for Learning from Coarse Data JMLR 2022 The Complexity of Learning Approval-Based Multiwinner Voting Rules AAAI 2022 The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data? AISTATS 2022