Showing 81–100 of 157 results
/ Date/ Name
May 16, 2022The Role of Pseudo-labels in Self-training Linear Classifiers on High-dimensional Gaussian Mixture DataFeb 8, 2022On Sibson's $α$-Mutual InformationFeb 5, 2022Lower-bounds on the Bayesian Risk in Estimation Procedures via $f$-DivergencesFeb 2, 2022Catoni-style confidence sequences for heavy-tailed mean estimationDec 22, 2021A Simplicity Bubble Problem in Formal-Theoretic Learning SystemsDec 12, 2021Detection and Estimation of Multiple Transient ChangesNov 15, 2021Distribution Compression in Near-linear TimeOct 28, 2021Tractability from overparametrization: The example of the negative perceptronOct 4, 2021Generalized Kernel ThinningMay 12, 2021Kernel ThinningApr 25, 2021Consistency of invariance-based randomization testsFeb 23, 2021Product-form estimators: exploiting independence to scale up Monte CarloFeb 8, 2021Prepivoted permutation testsDec 10, 2020Low-rank matrix estimation in multi-response regression with measurement errors: Statistical and computational guaranteesDec 8, 2020Bridging Bayesian, frequentist and fiducial (BFF) inferences using confidence distributionOct 14, 2020Theoretical bounds on estimation error for meta-learningAug 26, 2020On the power of Chatterjee rank correlationJun 22, 2020On Projection Robust Optimal Transport: Sample Complexity and Model MisspecificationJun 17, 2020Revisiting minimum description length complexity in overparameterized modelsJun 10, 2020Structure Learning for Cyclic Linear Causal Models