hypothesis test

Inference with non-differentiable surrogate loss in a general high-dimensional classification framework JMLR 2026 Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters JMLR 2025 Active Statistical Inference ICML 2024 Contrastive dimension reduction: when and how? NeurIPS 2024 Invariant Causal Prediction with Local Models UAI 2024 Statistical and Causal Robustness for Causal Null Hypothesis Tests UAI 2024 ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark NeurIPS 2024 Adaptive False Discovery Rate Control with Privacy Guarantee JMLR 2023 A Learning Based Hypothesis Test for Harmful Covariate Shift ICLR 2023 Auditing for Human Expertise NeurIPS 2023 Auto-Encoding Goodness of Fit ICLR 2023 AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs NeurIPS 2022 Chernoff Sampling for Active Testing and Extension to Active Regression AISTATS 2022 On the Epistemic Limits of Personalized Prediction NeurIPS 2022 Calibration tests beyond classification ICLR 2021 Inferring serial correlation with dynamic backgrounds ICML 2021 On the Privacy Properties of GAN-generated Samples AISTATS 2021 A Three Sample Hypothesis Test for Evaluating Generative Models AISTATS 2020 Cross-validation Confidence Intervals for Test Error NeurIPS 2020 Statistical Inference on Random Dot Product Graphs: a Survey JMLR 2018 Statistical Inference for Pairwise Graphical Models Using Score Matching NeurIPS 2016 Dip-means: an incremental clustering method for estimating the number of clusters NeurIPS 2012 Statistical Optimization of Non-Negative Matrix Factorization AISTATS 2011 Statistical Tests for Optimization Efficiency NeurIPS 2011 One-Class Novelty Detection for Seizure Analysis from Intracranial EEG JMLR 2006