{"total":16,"rows":[{"id":"2307.09302","title":"Conformal prediction under ambiguous ground truth","created":"2023-07-18","cited_by_count":31,"area":null},{"id":"2112.03196","title":"Online false discovery rate control for anomaly detection in time series","created":"2021-12-06","cited_by_count":13,"area":null},{"id":"2206.15033","title":"A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes","created":"2022-06-30","cited_by_count":8,"area":null},{"id":"2408.12296","title":"Multiple testing for signal-agnostic searches of new physics with machine learning","created":"2024-08-22","cited_by_count":7,"area":null},{"id":"2207.07038","title":"SHAP-XRT: The Shapley Value Meets Conditional Independence Testing","created":"2022-07-14","cited_by_count":6,"area":null},{"id":"2509.21021","title":"Efficient Ensemble Conditional Independence Test Framework for Causal Discovery","created":"2025-09-25","cited_by_count":5,"area":null},{"id":"2202.04166","title":"The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting","created":"2022-02-08","cited_by_count":4,"area":null},{"id":"2411.02239","title":"Powerful batch conformal prediction for classification","created":"2024-11-04","cited_by_count":4,"area":null},{"id":"2604.20122","title":"Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring","created":"2026-04-22","cited_by_count":4,"area":null},{"id":"2502.06231","title":"Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms","created":"2025-02-10","cited_by_count":3,"area":null},{"id":"2210.10897","title":"Window-Based Distribution Shift Detection for Deep Neural Networks","created":"2022-10-19","cited_by_count":2,"area":null},{"id":"2307.02616","title":"Federated Epidemic Surveillance","created":"2023-07-05","cited_by_count":1,"area":null},{"id":"2406.16045","title":"Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection","created":"2024-06-23","cited_by_count":1,"area":null},{"id":"2308.00858","title":"Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes","created":"2023-08-01","cited_by_count":0,"area":null},{"id":"2410.12201","title":"Data-light Uncertainty Set Merging with Admissibility","created":"2024-10-16","cited_by_count":0,"area":null},{"id":"2607.12145","title":"Falsifying Causal Graphs With Outlier Events","created":"2026-07-13","cited_by_count":0,"area":null}],"next_cursor":null}