{"total":63,"rows":[{"id":"2106.13799","title":"Assessing Generalization of SGD via Disagreement","created":"2021-06-25","cited_by_count":117,"area":null},{"id":"2107.05719","title":"Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration","created":"2021-07-12","cited_by_count":79,"area":null},{"id":"2109.05389","title":"Omnipredictors","created":"2021-09-11","cited_by_count":74,"area":null},{"id":"2209.15145","title":"Batch Multivalid Conformal Prediction","created":"2022-09-30","cited_by_count":67,"area":null},{"id":"2206.01067","title":"Practical Adversarial Multivalid Conformal Prediction","created":"2022-06-02","cited_by_count":65,"area":null},{"id":"2101.01739","title":"Online Multivalid Learning: Means, Moments, and Prediction Intervals","created":"2021-01-05","cited_by_count":49,"area":null},{"id":"2203.01255","title":"Low-Degree Multicalibration","created":"2022-03-02","cited_by_count":45,"area":null},{"id":"2105.09989","title":"Multi-group Agnostic PAC Learnability","created":"2021-05-20","cited_by_count":44,"area":null},{"id":"2502.02561","title":"Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents","created":"2025-02-04","cited_by_count":40,"area":null},{"id":"2102.07856","title":"Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification","created":"2021-02-15","cited_by_count":39,"area":null},{"id":"2307.08999","title":"Oracle Efficient Online Multicalibration and Omniprediction","created":"2023-07-18","cited_by_count":37,"area":null},{"id":"2210.01745","title":"Making Decisions under Outcome Performativity","created":"2022-10-04","cited_by_count":33,"area":null},{"id":"2301.13767","title":"Multicalibration as Boosting for Regression","created":"2023-01-31","cited_by_count":33,"area":null},{"id":"2302.06726","title":"Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration","created":"2023-02-13","cited_by_count":31,"area":null},{"id":"2302.10863","title":"A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning","created":"2023-02-21","cited_by_count":30,"area":null},{"id":"2201.10408","title":"An Algorithmic Framework for Bias Bounties","created":"2022-01-25","cited_by_count":21,"area":null},{"id":"2304.09424","title":"Loss Minimization Yields Multicalibration for Large Neural Networks","created":"2023-04-19","cited_by_count":19,"area":null},{"id":"2303.04379","title":"HappyMap: A Generalized Multi-calibration Method","created":"2023-03-08","cited_by_count":18,"area":null},{"id":"2406.06487","title":"When is Multicalibration Post-Processing Necessary?","created":"2024-06-10","cited_by_count":18,"area":null},{"id":"2102.06202","title":"Private Prediction Sets","created":"2021-02-11","cited_by_count":17,"area":null},{"id":"2107.04423","title":"Multiaccurate Proxies for Downstream Fairness","created":"2021-07-09","cited_by_count":17,"area":null},{"id":"2211.17067","title":"Fair Ranking with Noisy Protected Attributes","created":"2022-11-30","cited_by_count":17,"area":null},{"id":"2202.01147","title":"Improving Screening Processes via Calibrated Subset Selection","created":"2022-02-02","cited_by_count":16,"area":null},{"id":"2406.17819","title":"Automatically Adaptive Conformal Risk Control","created":"2024-06-25","cited_by_count":16,"area":null},{"id":"2401.14645","title":"Omnipredictors for Regression and the Approximate Rank of Convex Functions","created":"2024-01-26","cited_by_count":15,"area":null},{"id":"2209.01687","title":"Reconciling Individual Probability Forecasts","created":"2022-09-04","cited_by_count":14,"area":null},{"id":"2209.07312","title":"Multicalibrated Regression for Downstream Fairness","created":"2022-09-15","cited_by_count":14,"area":null},{"id":"2301.08837","title":"From Pseudorandomness to Multi-Group Fairness and Back","created":"2023-01-21","cited_by_count":14,"area":null},{"id":"2405.02225","title":"Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks","created":"2024-05-03","cited_by_count":14,"area":null},{"id":"2103.05853","title":"Multicalibrated Partitions for Importance Weights","created":"2021-03-10","cited_by_count":10,"area":null},{"id":"2106.05515","title":"Understanding the Under-Coverage Bias in Uncertainty Estimation","created":"2021-06-10","cited_by_count":10,"area":null},{"id":"2111.03135","title":"Scaffolding Sets","created":"2021-11-04","cited_by_count":8,"area":null},{"id":"2209.14613","title":"Fair admission risk prediction with proportional multicalibration","created":"2022-09-29","cited_by_count":8,"area":null},{"id":"2211.09101","title":"Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes","created":"2022-11-16","cited_by_count":8,"area":null},{"id":"2502.05676","title":"Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction","created":"2025-02-08","cited_by_count":7,"area":null},{"id":"2302.08507","title":"The Scope of Multicalibration: Characterizing Multicalibration via Property Elicitation","created":"2023-02-16","cited_by_count":6,"area":null},{"id":"2203.09852","title":"Decision-Making under Miscalibration","created":"2022-03-18","cited_by_count":5,"area":null},{"id":"2405.19667","title":"Reconciling Model Multiplicity for Downstream Decision Making","created":"2024-05-30","cited_by_count":5,"area":null},{"id":"2504.18395","title":"Three Types of Calibration with Properties and their Semantic and Formal Relationships","created":"2025-04-25","cited_by_count":5,"area":null},{"id":"2509.19884","title":"MCGrad: Multicalibration at Web Scale","created":"2025-09-24","cited_by_count":5,"area":null},{"id":"2511.04907","title":"Efficient Swap Multicalibration of Elicitable Properties","created":"2025-11-07","cited_by_count":5,"area":null},{"id":"2102.08454","title":"Lexicographically Fair Learning: Algorithms and Generalization","created":"2021-02-16","cited_by_count":4,"area":null},{"id":"2202.04530","title":"An Exploration of Multicalibration Uniform Convergence Bounds","created":"2022-02-09","cited_by_count":4,"area":null},{"id":"2505.20885","title":"Improved Bounds for Swap Multicalibration and Swap Omniprediction","created":"2025-05-27","cited_by_count":4,"area":null},{"id":"2410.14588","title":"Learning With Multi-Group Guarantees For Clusterable Subpopulations","created":"2024-10-18","cited_by_count":3,"area":null},{"id":"2202.04837","title":"Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization","created":"2022-02-10","cited_by_count":2,"area":null},{"id":"2302.00025","title":"On the Within-Group Fairness of Screening Classifiers","created":"2023-01-31","cited_by_count":2,"area":null},{"id":"2502.15131","title":"Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling","created":"2025-02-21","cited_by_count":2,"area":null},{"id":"2510.26566","title":"Multiclass Local Calibration with the Jensen-Shannon Distance","created":"2025-10-30","cited_by_count":2,"area":null},{"id":"2511.11413","title":"Multicalibration Yields Better Matchings","created":"2025-11-14","cited_by_count":2,"area":null},{"id":"2606.03245","title":"Hierarchies of Calibration: Classification meets Regression","created":"2026-06-02","cited_by_count":2,"area":null},{"id":"2606.05551","title":"Conformal Risk-Averse Decision Making with Action Conditional Guarantee","created":"2026-06-04","cited_by_count":2,"area":null},{"id":"2303.01704","title":"Feature Importance Disparities for Data Bias Investigations","created":"2023-03-03","cited_by_count":1,"area":null},{"id":"2412.10575","title":"Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration","created":"2024-12-13","cited_by_count":1,"area":null},{"id":"2510.25458","title":"Scalable Utility-Aware Multiclass Calibration","created":"2025-10-29","cited_by_count":1,"area":null},{"id":"2602.06773","title":"On the Convergence of Multicalibration Gradient Boosting","created":"2026-02-06","cited_by_count":1,"area":null},{"id":"2602.21390","title":"Defensive Generation","created":"2026-02-24","cited_by_count":1,"area":null},{"id":"2605.21060","title":"Divide et Calibra: Multiclass Local Calibration via Vector Quantization","created":"2026-05-20","cited_by_count":1,"area":null},{"id":"2110.08922","title":"Explaining generalization in deep learning: progress and fundamental limits","created":"2021-10-17","cited_by_count":0,"area":null},{"id":"2309.11343","title":"Using Property Elicitation to Understand the Impacts of Fairness Regularizers","created":"2023-09-20","cited_by_count":0,"area":null},{"id":"2602.21327","title":"Equitable Evaluation via Elicitation","created":"2026-02-24","cited_by_count":0,"area":null},{"id":"2603.07319","title":"ShakyPrepend: A Multi-Group Learner with Improved Sample Complexity","created":"2026-03-07","cited_by_count":0,"area":null},{"id":"2606.00419","title":"Parameter-Free and Group Conditional Online Conformal Prediction","created":"2026-05-29","cited_by_count":0,"area":null}],"next_cursor":null}