false discovery rate

COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees AAAI 2026 Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees ACL 2026 Controlling Uncertainty and Hallucination Risk in Multi-Agent Fact Verification UAI 2026 Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control JMLR 2026 Effective Robotic Cloth Grasping Through Suppressing False Discoveries AAAI 2026 Identifying Labeling Mechanism in Positive–Unlabeled Learning under Unknown Class Prior UAI 2026 Improving online FDR procedures via online analogs of e-closure and compound e-values UAI 2026 Integral-based Knockoffs Inference for Partially Linear Models AAAI 2026 Online Conformal Selection with Accept-to-Reject Changes AAAI 2026 On the Robustness of Bandit Multiple Testing AAAI 2026 Robust estimation of graphical models with measurement error: False discovery control and sensitivity analysis UAI 2026 An Online Statistical Framework for Out-of-Distribution Detection ICML 2025 Conditional Testing based on Localized Conformal p-values ICLR 2025 e-GAI: e-value-based Generalized $α$-Investing for Online False Discovery Rate Control ICML 2025 Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery AAAI 2025 Membership Inference Attacks with False Discovery Rate Control ICCV 2025 Sequential Kernelized Stein Discrepancy AISTATS 2025 A Provable Decision Rule for Out-of-Distribution Detection ICML 2024 ByMI: Byzantine Machine Identification with False Discovery Rate Control ICML 2024 Conformalized Multiple Testing after Data-dependent Selection NeurIPS 2024 DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection NeurIPS 2024 DeepFDR: A Deep Learning-based False Discovery Rate Control Method for Neuroimaging Data AISTATS 2024 False discovery proportion envelopes with m-consistency JMLR 2024 Online multiple testing with e-values AISTATS 2024 On the Adversarial Robustness of Benjamini Hochberg NeurIPS 2024