sequential testing

Near-optimal algorithms for private estimation and sequential testing of collision probability AISTATS 2025 Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models AISTATS 2025 Active, anytime-valid risk controlling prediction sets NeurIPS 2024 An information-theoretic lower bound in time-uniform estimation COLT 2024 Optimal Clustering with Bandit Feedback JMLR 2024 Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries JMLR 2024 Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach JMLR 2024 Auditing Fairness by Betting NeurIPS 2023 Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators AAAI 2023 Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023 Sequential Kernelized Independence Testing ICML 2023 Sequential Predictive Two-Sample and Independence Testing NeurIPS 2023 Anytime-Valid Inference For Multinomial Count Data NeurIPS 2022 Multi-Fidelity Best-Arm Identification NeurIPS 2022 Private Sequential Hypothesis Testing for Statisticians: Privacy, Error Rates, and Sample Size AISTATS 2022 Sequential algorithmic modification with test data reuse UAI 2022 A/B/n Testing with Control in the Presence of Subpopulations NeurIPS 2021 An Online Sequential Test for Qualitative Treatment Effects JMLR 2021 Asynchronous Online Testing of Multiple Hypotheses JMLR 2021 Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals JMLR 2021 Online false discovery rate control for anomaly detection in time series NeurIPS 2021 Stochastic Probing with Increasing Precision IJCAI 2021 A New Framework for Online Testing of Heterogeneous Treatment Effect AAAI 2020 On Conditional Versus Marginal Bias in Multi-Armed Bandits ICML 2020 Optimal Best Markovian Arm Identification with Fixed Confidence NeurIPS 2019