nonparametric testing

A General Framework for the Analysis of Kernel-based Tests JMLR 2024 Deep anytime-valid hypothesis testing AISTATS 2024 On Ranking-based Tests of Independence AISTATS 2024 Fast and scalable score-based kernel calibration tests UAI 2023 Minimax Nonparametric Two-Sample Test under Adversarial Losses AISTATS 2023 Sequential Predictive Two-Sample and Independence Testing NeurIPS 2023 Efficient Aggregated Kernel Tests using Incomplete U-statistics NeurIPS 2022 A Stein Goodness-of-fit Test for Directional Distributions AISTATS 2020 Non-asymptotic Analysis for Nonparametric Testing COLT 2020 Sharp Theoretical Analysis for Nonparametric Testing under Random Projection COLT 2019 Testing Identity of Multidimensional Histograms COLT 2019 Early Stopping for Nonparametric Testing NeurIPS 2018 Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels NeurIPS 2016 Fast Cross-Validation via Sequential Testing JMLR 2015 M-Statistic for Kernel Change-Point Detection NeurIPS 2015 On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives AISTATS 2015 A Kernel Test for Three-Variable Interactions NeurIPS 2013 Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data NeurIPS 2012 Wilks’ phenomenon and penalized likelihood-ratio test for nonparametric curve registration AISTATS 2012 Efficient Moments-based Permutation Tests NeurIPS 2009