{"total":21,"rows":[{"id":"2408.07511","title":"Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach","created":"2024-08-14","cited_by_count":23,"area":null},{"id":"2502.04294","title":"Prediction-Powered E-Values","created":"2025-02-06","cited_by_count":16,"area":null},{"id":"2505.04608","title":"WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales","created":"2025-05-07","cited_by_count":16,"area":null},{"id":"2406.10490","title":"Active, anytime-valid risk controlling prediction sets","created":"2024-06-15","cited_by_count":14,"area":null},{"id":"2410.22318","title":"Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting","created":"2024-10-29","cited_by_count":11,"area":null},{"id":"2506.16416","title":"On Continuous Monitoring of Risk Violations under Unknown Shift","created":"2025-06-19","cited_by_count":10,"area":null},{"id":"2410.19406","title":"An Auditing Test To Detect Behavioral Shift in Language Models","created":"2024-10-25","cited_by_count":9,"area":null},{"id":"2310.19384","title":"Deep anytime-valid hypothesis testing","created":"2023-10-30","cited_by_count":7,"area":null},{"id":"2502.07774","title":"Optimistic Interior Point Methods for Sequential Hypothesis Testing by Betting","created":"2025-02-11","cited_by_count":4,"area":null},{"id":"2602.13848","title":"Testing For Distribution Shifts with Conditional Conformal Test Martingales","created":"2026-02-14","cited_by_count":4,"area":null},{"id":"2402.09698","title":"Combining Evidence Across Filtrations","created":"2024-02-15","cited_by_count":3,"area":null},{"id":"2512.20039","title":"Optimal Anytime-Valid Tests for Composite Nulls","created":"2025-12-23","cited_by_count":1,"area":null},{"id":"2603.17925","title":"Multi-Armed Sequential Hypothesis Testing by Betting","created":"2026-03-18","cited_by_count":1,"area":null},{"id":"2609.05752","title":"A complete characterization of sequential testability and change detectability in i.i.d. models","created":"2026-09-04","cited_by_count":1,"area":null},{"id":"2506.03898","title":"Kernel conditional tests from learning-theoretic bounds","created":"2025-06-04","cited_by_count":0,"area":null},{"id":"2509.10742","title":"Matched-Pair Experimental Design with Active Learning","created":"2025-09-12","cited_by_count":0,"area":null},{"id":"2604.10967","title":"Learning to Test: Latent Representation Learning for Dynamic Instability Detection","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2605.12720","title":"Optimal sequential tests yield log-optimal e-processes","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2609.33597","title":"The Price of Peeking: Anytime-Valid Leakage Detection on ML-KEM EM Traces","created":"2026-09-27","cited_by_count":0,"area":null},{"id":"2609.38695","title":"Always-On Experimentation","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.13855","title":"SLICE: Sequential Likelihood-Free Inference via Conformal E-Values","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}