statistical testing

CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations AAAI 2026 Detecting Subtle Biases: An Ethical Lens on Underexplored Areas in AI Language Models Biases EACL 2026 CDI: Copyrighted Data Identification in Diffusion Models CVPR 2025 Conditional Diffusion Models Based Conditional Independence Testing AAAI 2025 Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping RSS 2025 Testing Generalizability in Causal Inference UAI 2025 The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs ACL 2025 A General Framework for the Analysis of Kernel-based Tests JMLR 2024 CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models EMNLP 2024 Covariate Shift Corrected Conditional Randomization Test NeurIPS 2024 Differentially Private Equivalence Testing for Continuous Distributions and Applications NeurIPS 2024 Estimating Lexical Complexity from Document-Level Distributions COLING 2024 On the Adversarial Robustness of Benjamini Hochberg NeurIPS 2024 Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NeurIPS 2024 PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models EMNLP 2024 Statistical Multicriteria Benchmarking via the GSD-Front NeurIPS 2024 Testing Semantic Importance via Betting NeurIPS 2024 A Model-free Closeness-of-influence Test for Features in Supervised Learning ICML 2023 Analysis and Detectability of Offline Data Poisoning Attacks on Linear Dynamical Systems L4DC 2023 DART: Distance Assisted Recursive Testing JMLR 2023 DIET: Conditional independence testing with marginal dependence measures of residual information AISTATS 2023 Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions NeurIPS 2023 Learning and Testing Latent-Tree Ising Models Efficiently COLT 2023 MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting NeurIPS 2023 Principled Out-of-Distribution Detection via Multiple Testing JMLR 2023