hypothesis testing

A Model-free Closeness-of-influence Test for Features in Supervised Learning ICML 2023 A Permutation-Free Kernel Independence Test JMLR 2023 A Statistical Exploration of Text Partition Into Constituents: The Case of the Priestly Source in the Books of Genesis and Exodus ACL 2023 Asymptotic Instance-Optimal Algorithms for Interactive Decision Making ICLR 2023 A Two-Sided Discussion of Preregistration of NLP Research EACL 2023 Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models ICLR 2023 Complexity of High-Dimensional Identity Testing with Coordinate Conditional Sampling COLT 2023 Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing JMLR 2023 DIET: Conditional independence testing with marginal dependence measures of residual information AISTATS 2023 Differentially Private Hypothesis Testing for Linear Regression JMLR 2023 Efficiently Controlling Multiple Risks with Pareto Testing ICLR 2023 Interactive Visual Reasoning under Uncertainty NeurIPS 2023 Is Planted Coloring Easier than Planted Clique? COLT 2023 Kernel-Based Tests for Likelihood-Free Hypothesis Testing NeurIPS 2023 Minimax optimal testing by classification COLT 2023 MMD Aggregated Two-Sample Test JMLR 2023 Nearest-Neighbor Sampling Based Conditional Independence Testing AAAI 2023 On Testability and Goodness of Fit Tests in Missing Data Models UAI 2023 On the Exploration of Local Significant Differences For Two-Sample Test NeurIPS 2023 Optimal testing using combined test statistics across independent studies NeurIPS 2023 Phase transition for detecting a small community in a large network ICLR 2023 Phase Transitions in the Detection of Correlated Databases ICML 2023 R-divergence for Estimating Model-oriented Distribution Discrepancy NeurIPS 2023 Selective inference for k-means clustering JMLR 2023 Selective Nonparametric Regression via Testing ACML 2023