multiple hypothesis testing

On the Robustness of Bandit Multiple Testing AAAI 2026 Max-Rank: Efficient Multiple Testing for Conformal Prediction AISTATS 2025 Online multiple testing with e-values AISTATS 2024 On the Adversarial Robustness of Benjamini Hochberg NeurIPS 2024 Statistical Inference for Fairness Auditing JMLR 2024 Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano ICML 2023 Bounding the Family-Wise Error Rate in Local Causal Discovery Using Rademacher Averages (Extended Abstract) IJCAI 2023 Delving into Noisy Label Detection with Clean Data ICML 2023 Heavy Sets with Applications to Interpretable Machine Learning Diagnostics AISTATS 2023 Principled Out-of-Distribution Detection via Multiple Testing JMLR 2023 Asynchronous Online Testing of Multiple Hypotheses JMLR 2021 Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints JMLR 2021 PAPRIKA: Private Online False Discovery Rate Control ICML 2021 Aggregation of Multiple Knockoffs ICML 2020 Contextual Online False Discovery Rate Control AISTATS 2020 Familywise Error Rate Control by Interactive Unmasking ICML 2020 The Power of Batching in Multiple Hypothesis Testing AISTATS 2020 Kernel Stein Tests for Multiple Model Comparison NeurIPS 2019 SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate ICML 2018 NeuralFDR: Learning Discovery Thresholds from Hypothesis Features NeurIPS 2017 Sequential Multiple Hypothesis Testing with Type I Error Control AISTATS 2017 Multiple Testing under Dependence via Semiparametric Graphical Models ICML 2014 Asymptotic Results on Adaptive False Discovery Rate Controlling Procedures Based on Kernel Estimators JMLR 2013 Speeding up Permutation Testing in Neuroimaging NeurIPS 2013 Minimax Localization of Structural Information in Large Noisy Matrices NeurIPS 2011