2 papers
stat.ML2026
Counterfactual Explanations for Deep Two-Sample Testing
Wei-Cheng Lai, Marco Simnacher, Christoph Lippert
Two-sample testing is a fundamental tool for detecting distributional differences across scientific domains, but classical tests (including kernel-based tests) can be ineffective o…
stat.ML2024
Deep Nonparametric Conditional Independence Tests for Images
Marco Simnacher, Xiangnan Xu, Hani Park +2
Conditional independence tests (CITs) test for conditional dependence between random variables. As existing CITs are limited in their applicability to complex, high-dimensional var…