FDR Control

FDR: False Discovery Rate

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Overview

False discovery rate control studies how to select statistically supported findings while limiting the expected proportion of selections that are false. Classical procedures such as Benjamini–Hochberg are joined by knockoff filters, conformal p-values, e-values, and data-splitting methods, which can account for structured or dependent hypotheses. Recent work applies these tools to feature selection, anomaly and out-of-distribution detection, scientific discovery, and sequential or adaptive decisions. A central challenge is preserving reliable guarantees under dependence, model misspecification, or repeated selection without making procedures so conservative that they miss useful discoveries.

Latest papers

CardsList

42 papers9 papers in the last four weeks, up 80% on the four weeks before. 0.1% of all new papers.

  1. CADS: Measuring the Incremental Contribution of LLM Proposers in Sequential Biological Screens

    Oct 17, 2026Guanxing Chen, Nihui Shao, Haohuai He +3Large Language Model-Guided Scientific DiscoveryLLM Evaluation

    City University of Hong Kong (Dongguan) · The Hong Kong Polytechnic University · Tencent AI Lab +1

  2. Conformal Policy Selection: When to Deploy AI Decisions for Targeted Intervention

    Oct 16, 2026Junyu Cao, Ruijiang Gao, Maytal Saar-Tsechansky +1Policy EvaluationFDR Control

    McCombs School of Business, The University of Texas at Austin, Austin, TX 78712 · Naveen Jindal School of Management, The University of Texas at Dallas, Richardson, TX 75080 · Warrington College of Business, University of Florida, Gainesville, FL 32611

  3. Online Individualized Treatment Selection under Partial Feedback: False Discovery Control and Minimax Optimality

    Oct 12, 2026Runzhe Gu, Zinan Zhao, Wenguang Sun +1FDR ControlMinimax Regret

    Center for Data Science, Zhejiang University · Department of Statistics, University of Michigan

  4. Certified by Abstention: Distribution-Free Guarantees for Chain-of-Thought Verifiers at Small Calibration Budgets

    Oct 7, 2026Arjun BalajiSelective PredictionConformal Prediction

    Columbia University

  5. On the Boundary of Admission Gates: An Injected-Truth Study of Falsification-First Selection in Quantitative Strategy Research

    Oct 6, 2026Tianlun ZhengQuantitative FinanceFDR Control

    Fudan University

  6. Valid Stopping in Adaptive Generator-Verifier Loops

    Oct 5, 2026Mahmoud Hegazy, Michael I. Jordan, Aymeric DieuleveutFDR ControlE-Values

    CMAP, École polytechnique, IP Paris, France · Inria Paris, France · EECS, UC Berkeley, USA

  7. Evidence-Gated Research: Statistically Controlled Model Adoption in Adaptive Search

    Oct 1, 2026Yifan GuoFDR ControlAnytime-Valid Inference

    Department of Applied Mathematics and Statistics Stony Brook University

  8. Mitigating Object Hallucination in Large Vision-Language Models via False Discovery Controlled Visual Data Splitting

    Sep 30, 2026Chang Liu, Yu Tian, Rui XieFDR ControlLarge Vision-Language Models

    School of Data, Mathematical, and Statistical Sciences Institute of Artificial Intelligence University of Central Florida

  9. Always-On Experimentation

    Sep 30, 2026Ricardo J. Sandoval, David Arbour, Avi Feller +1FDR ControlA/b Testing

    University of California, Berkeley · Adobe Research · Inria, Paris

  10. Calibrated Derivative-Process Sensitivity for Gaussian-Process Variable Selection

    Sep 27, 2026Jia CaiFDR ControlFeature Selection

    Department of Statistics, George Mason University Fairfax, Virginia, USA

  11. The Null Is the Hard Part: Exact Tests for Memorization in Generative Models

    Sep 23, 2026Sushovan Majhi, Pramita BagchiPermutation TestingMemorization in Generative Models

    Data Science, George Washington University, USA · Statistics, George Washington University, USA

  12. Propose, Don't Judge: An Anytime-Valid Referee for LLM Agents That Mine Investment Factors

    Sep 22, 2026Bo Qu, Mingguang Chen, Licheng WangQuantitative FinanceFinance

    DeepGrounding · AlphaAvatar

  13. Certified AI Triage of ICU Alarms

    Sep 11, 2026Mohammed Sameer Syed, Rozhin YasaeiFDR ControlClinical Triage

    Roshan AI · University of Arizona

  14. GenCAR: Generative Counterfactual Alignment with Risk-Controlled Selection for Out-of-Distribution Recommendation

    Sep 2, 2026Qianqian Wang, Yunshan Li, Jiawen Zeng +2Recommender SystemsFDR Control

    aShenzhen Key Laboratory of Safety and Security for Next Generation of Industrial Internet, Southern University of Science and Technology, Shenzhen, China · bDepartment of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China · cSchool of Engineering and Applied Science, University of Pennsylvania, Philadelphia, USA

  15. Judge, Retrieve, or Abstain: Uncertainty-Guarded LLM Judging with Provable Risk Guarantees

    Aug 18, 2026Sher Badshah, Ali Emami, Hassan SajjadLLM-as-a-JudgeSelective Prediction

    Dalhousie University · New York University Abu Dhabi · Emory University

  16. Innovation-Residual Auditing of Autonomous Analysis Agents: Localization, Detection Limits, Error Control, and Identifiability

    Aug 6, 2026Ahmed Hassoon, Mark DredzeAlgorithmic AuditingFDR Control

    Johns Hopkins University

  17. Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP

    Aug 2, 2026Jiaan Han, Junxiao Chen, Yanzhe FuFDR ControlFeature Selection

    Columbia Business School Columbia University · Department of Statistics University of Hong Kong

  18. Robust Conformalized Selection with Noisy Responses

    Jul 25, 2026Chengyao Yu, Hongxin Wei, Bingyi JingSelective PredictionFDR Control

    Department of Statistics and Data Science Southern University of Science and Technology Shenzhen 518055, China · School of Artificial Intelligence The Chinese University of Hong Kong, Shenzhen Shenzhen Loop Area Institute Shenzhen 518172, China

  19. The Benjamini--Hochberg Procedure Can Fail to Control the FDR for Correlated Two-Sided Gaussian Tests

    Jul 13, 2026Edgar DobribanFDR ControlMultiple Hypothesis Testing

    Department of Statistics and Data Science, University of Pennsylvania.

  20. Shape Over Intensity: Directional Topological Encoding for False Positive Reduction in Intracranial Aneurysm Detection

    Jul 6, 2026Akshay Gokhale, Mansi DhamneFDR ControlMedical Image Anomaly Detection

    Computer Science and Engineering Sardar Patel Institute of Technology Mumbai, India · Computer Engineering Sardar Patel Institute of Technology Mumbai, India

  21. Denoised Conformal Alignment for Reliable Selection of Conditional Average Treatment Effect Predictions

    Jul 3, 2026Xinyun Lu, Haoang Chi, Zhiheng ZhangCausal Effect EstimationSelective Prediction

    Shanghai University of Finance and Economics · Shanghai Jiao Tong University · National University of Defense Technology, Changsha, China +2

  22. Null-Calibrated Conformal Selection via Target-Membership Scores

    Jun 21, 2026Seungjin ChoiFDR ControlConformal Prediction

    CROID Research and aSSIST University, Korea

  23. Finite Resources False Discovery Rate Control in Structured Hypothesis Spaces

    Jun 13, 2026Binyamin Perets, Shie MannorFDR ControlMultiple Hypothesis Testing

    Technion – Israel Institute of Technology · NVIDIA

  24. Knockoffs-based False Discovery Rate Control and Simplification for Deep Neural Networks

    Jun 3, 2026Wenyu Liao, Yiqing Shi, Fang XieFDR ControlFeature Selection

    Guangdong Provincial Key Laboratory of IRADS, Beijing Normal-Hong Kong Baptist University, Zhuhai 519087, China

  25. A Distribution-Free Framework for Rewrite-Based Human-text Detection via Knockoff Filtering

    May 29, 2026Yi LiuAI-Generated Text DetectionFDR Control

  26. Few-Shot Resampling for Scalable Statistically-Sound Data Mining

    May 29, 2026Leonardo Pellegrina, Fabio VandinFDR ControlStatistical Hypothesis Testing

    Department of Information Engineering, University of Padova Padova, Italy

  27. Data-driven sparse identification of governing PDEs via knockoff filters and multi-criteria trade-offs

    May 26, 2026Pongpisit Thanasutives, Naichang Ke, Yoshinobu KawaharaFDR ControlPDE Discovery

    1RIKEN Center for Advanced Intelligence Project (AIP) · 2The University of Osaka

  28. Structure-Adaptive Conformal Inference for Large-Scale Out-of-Distribution Testing

    May 26, 2026Rongyi Sun, Wenguang Sun, Zinan ZhaoFDR ControlConformal Prediction

    Center for Data Science and School of Mathematical Sciences, Zhejiang University. · Center for Data Science and School of Management, Zhejiang University.

  29. Everywhere Valid Bounds on False Discovery Proportions in Conformal Inference

    May 20, 2026Ziang Song, Ying Jin, Emmanuel J. CandèsFDR ControlConformal Prediction

    Department of Statistics, Stanford University · Department of Statistics and Data Science, University of Pennsylvania · Department of Mathematics, Stanford University

  30. Controlling False Discovery in Arbitrarily Structured Hypothesis Spaces via Reproducing Kernels

    May 17, 2026Binyamin Perets, Shie MannorFDR ControlMultiple Hypothesis Testing

    Technion – Israel Institute of Technology · NVIDIA