{"total":15,"rows":[{"id":"2304.07288","title":"Cross-Entropy Loss Functions: Theoretical Analysis and Applications","created":"2023-04-14","cited_by_count":210,"area":null},{"id":"2405.05968","title":"A Universal Growth Rate for Learning with Smooth Surrogate Losses","created":"2024-05-09","cited_by_count":24,"area":null},{"id":"2403.19480","title":"$H$-Consistency Guarantees for Regression","created":"2024-03-28","cited_by_count":21,"area":null},{"id":"2407.13722","title":"Enhanced $H$-Consistency Bounds","created":"2024-07-18","cited_by_count":18,"area":null},{"id":"2206.14707","title":"An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates","created":"2022-06-29","cited_by_count":14,"area":null},{"id":"2207.08873","title":"Consistent Polyhedral Surrogates for Top-$k$ Classification and Variants","created":"2022-07-18","cited_by_count":8,"area":null},{"id":"2511.15816","title":"Beyond Tsybakov: Model Margin Noise and $\\mathcal{H}$-Consistency Bounds","created":"2025-11-19","cited_by_count":7,"area":null},{"id":"2205.10055","title":"A Case of Exponential Convergence Rates for SVM","created":"2022-05-20","cited_by_count":3,"area":null},{"id":"2407.10417","title":"Proper losses regret at least 1/2-order","created":"2024-07-15","cited_by_count":3,"area":null},{"id":"2505.09432","title":"Establishing Linear Surrogate Regret Bounds for Convex Smooth Losses via Convolutional Fenchel-Young Losses","created":"2025-05-14","cited_by_count":2,"area":null},{"id":"2502.04889","title":"Any-stepsize Gradient Descent for Separable Data under Fenchel-Young Losses","created":"2025-02-07","cited_by_count":1,"area":null},{"id":"2502.19522","title":"Contrasting Cost-Agnostic and Cost-Sensitive Losses under Limited Model Capacity via $\\mathcal H$-consistency","created":"2025-02-26","cited_by_count":1,"area":null},{"id":"2506.09348","title":"Adversarial Surrogate Risk Bounds for Binary Classification","created":"2025-06-11","cited_by_count":1,"area":null},{"id":"2209.11629","title":"From Weakly Supervised Learning to Active Learning","created":"2022-09-23","cited_by_count":0,"area":null},{"id":"2609.33472","title":"Geometric Identification in Predict-Then-Optimize Learning","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}