two-sample test

H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection CVPR 2025 Integral Probability Metrics Meet Neural Networks: The Radon-Kolmogorov-Smirnov Test JMLR 2025 Minimax Optimal Two-Sample Testing under Local Differential Privacy JMLR 2025 Deep anytime-valid hypothesis testing AISTATS 2024 Distribution Free Domain Generalization ICML 2023 Minimax Nonparametric Two-Sample Test under Adversarial Losses AISTATS 2023 Minimax optimal testing by classification COLT 2023 MMD Aggregated Two-Sample Test JMLR 2023 On the Exploration of Local Significant Differences For Two-Sample Test NeurIPS 2023 Adversarial Attack and Defense for Non-Parametric Two-Sample Tests ICML 2022 A Kernel Two-Sample Test for Functional Data JMLR 2022 A label efficient two-sample test UAI 2022 A permutation-free kernel two-sample test NeurIPS 2022 AutoML Two-Sample Test NeurIPS 2022 A Witness Two-Sample Test AISTATS 2022 Comparing Distributions by Measuring Differences that Affect Decision Making ICLR 2022 Context-Aware Drift Detection ICML 2022 Sequential Covariate Shift Detection Using Classifier Two-Sample Tests ICML 2022 Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions JMLR 2022 Two-Sample Test with Kernel Projected Wasserstein Distance AISTATS 2022 A kernel two-sample test with selection bias UAI 2021 Application of kernel hypothesis testing on set-valued data UAI 2021 Detection and Defense of Topological Adversarial Attacks on Graphs AISTATS 2021 Efficient Balanced Treatment Assignments for Experimentation AISTATS 2021 Efficient Statistical Tests: A Neural Tangent Kernel Approach ICML 2021