Statistical Learning

A Stein Goodness-of-fit Test for Directional Distributions AISTATS 2020 Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms AISTATS 2020 Asymptotic Consistency of α-Rényi-Approximate Posteriors JMLR 2020 Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices COLT 2020 Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model NeurIPS 2020 Asymptotic Risk of Bézier Simplex Fitting AAAI 2020 A Theoretical and Practical Framework for Regression and Classification from Truncated Samples AISTATS 2020 A Theory of Usable Information under Computational Constraints ICLR 2020 A Three Sample Hypothesis Test for Evaluating Generative Models AISTATS 2020 A Unified Statistically Efficient Estimation Framework for Unnormalized Models AISTATS 2020 A Unified View of Label Shift Estimation NeurIPS 2020 Axioms for Learning from Pairwise Comparisons NeurIPS 2020 Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class NeurIPS 2020 Bayesian Deep Ensembles via the Neural Tangent Kernel NeurIPS 2020 Belief Merging Operators as Maximum Likelihood Estimators IJCAI 2020 Bessel Smoothing and Multi-Distribution Property Estimation COLT 2020 Best-item Learning in Random Utility Models with Subset Choices AISTATS 2020 Better Algorithms for Estimating Non-Parametric Models in Crowd-Sourcing and Rank Aggregation COLT 2020 Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples NeurIPS 2020 Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles ICML 2020 Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning ICML 2020 Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation AISTATS 2020 Can We Predict the Election Outcome from Sampled Votes? AAAI 2020 Causal Discovery from Heterogeneous/Nonstationary Data JMLR 2020 Causal Estimation with Functional Confounders NeurIPS 2020