two-sample testing

A Unified Data Representation Learning for Non-parametric Two-sample Testing UAI 2025 Collaborative non-parametric two-sample testing AISTATS 2025 Model Equality Testing: Which Model is this API Serving? ICLR 2025 Adaptive Learning of Density Ratios in RKHS JMLR 2023 Compress Then Test: Powerful Kernel Testing in Near-linear Time AISTATS 2023 Kernel-Based Tests for Likelihood-Free Hypothesis Testing NeurIPS 2023 Minimax optimal testing by classification COLT 2023 MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting NeurIPS 2023 Sequential Predictive Two-Sample and Independence Testing NeurIPS 2023 Two-Sample Tests for Inhomogeneous Random Graphs in L_r Norm: Optimality and Asymptotics AISTATS 2023 Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions JMLR 2022 Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data NeurIPS 2021 Smooth p-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications ICML 2021 Two-sample Testing Using Deep Learning AISTATS 2020 Efficient Nonparametric Smoothness Estimation NeurIPS 2016 Fast Two-Sample Testing with Analytic Representations of Probability Measures NeurIPS 2015 B-test: A Non-parametric, Low Variance Kernel Two-sample Test NeurIPS 2013