{"total":15,"rows":[{"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":"2505.14903","title":"When to retrain a machine learning model","created":"2025-05-20","cited_by_count":8,"area":null},{"id":"2506.10616","title":"Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability","created":"2025-06-12","cited_by_count":7,"area":null},{"id":"2603.01040","title":"Fed-ADE: Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift","created":"2026-03-01","cited_by_count":2,"area":null},{"id":"2402.03545","title":"Online Feature Updates Improve Online (Generalized) Label Shift Adaptation","created":"2024-02-05","cited_by_count":1,"area":null},{"id":"2405.16906","title":"Harnessing the Power of Vicinity-Informed Analysis for Classification under Covariate Shift","created":"2024-05-27","cited_by_count":1,"area":null},{"id":"2411.06499","title":"Mitigating covariate shift in non-colocated data with learned parameter priors","created":"2024-11-10","cited_by_count":1,"area":null},{"id":"2510.24044","title":"Mitigating Negative Transfer via Reducing Environmental Disagreement","created":"2025-10-28","cited_by_count":1,"area":null},{"id":"2604.10672","title":"One-Step Score-Based Density Ratio Estimation","created":"2026-04-12","cited_by_count":1,"area":null},{"id":"2404.05168","title":"Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations","created":"2024-04-08","cited_by_count":0,"area":null},{"id":"2502.12949","title":"Efficient Learning Under Density Shift in Incremental Settings Using Cram\\'er-Rao-Based Regularization","created":"2025-02-18","cited_by_count":0,"area":null},{"id":"2503.00563","title":"A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice","created":"2025-03-01","cited_by_count":0,"area":null},{"id":"2512.09266","title":"Robust and Sparse Estimation of Unbounded Density Ratio under Heavy Contamination","created":"2025-12-10","cited_by_count":0,"area":null},{"id":"2606.25347","title":"Geometry-Anchored Transport Framework for Exemplar-Free Class-Incremental Learning","created":"2026-06-24","cited_by_count":0,"area":null},{"id":"2607.25441","title":"PIcsC: Partitioning-Induced Covariate Shift Correction","created":"2026-07-28","cited_by_count":0,"area":null}],"next_cursor":null}