{"total":24,"rows":[{"id":"2304.07288","title":"Cross-Entropy Loss Functions: Theoretical Analysis and Applications","created":"2023-04-14","cited_by_count":210,"area":null},{"id":"2310.14772","title":"Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms","created":"2023-10-23","cited_by_count":36,"area":null},{"id":"2310.14770","title":"Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention","created":"2023-10-23","cited_by_count":32,"area":null},{"id":"2403.19494","title":"Regression with Multi-Expert Deferral","created":"2024-03-28","cited_by_count":29,"area":null},{"id":"2307.02035","title":"Ranking with Abstention","created":"2023-07-05","cited_by_count":27,"area":null},{"id":"2407.13732","title":"Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer","created":"2024-07-18","cited_by_count":26,"area":null},{"id":"2305.17476","title":"Toward Understanding Generative Data Augmentation","created":"2023-05-27","cited_by_count":25,"area":null},{"id":"2407.07140","title":"Cardinality-Aware Set Prediction and Top-$k$ Classification","created":"2024-07-09","cited_by_count":23,"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":"2506.20650","title":"Mastering Multiple-Expert Routing: Realizable $H$-Consistency and Strong Guarantees for Learning to Defer","created":"2025-06-25","cited_by_count":16,"area":null},{"id":"2502.10381","title":"Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data","created":"2025-02-14","cited_by_count":15,"area":null},{"id":"2502.06604","title":"Do we really have to filter out random noise in pre-training data for language models?","created":"2025-02-10","cited_by_count":11,"area":null},{"id":"2306.04689","title":"Multiscale Flow for Robust and Optimal Cosmological Analysis","created":"2023-06-07","cited_by_count":10,"area":null},{"id":"2311.13355","title":"Unified Classification and Rejection: A One-versus-All Framework","created":"2023-11-22","cited_by_count":9,"area":null},{"id":"2512.25034","title":"Generative Classifiers Avoid Shortcut Solutions","created":"2025-12-31","cited_by_count":8,"area":null},{"id":"2512.23133","title":"Principled Algorithms for Optimizing Generalized Metrics in Binary Classification","created":"2025-12-29","cited_by_count":6,"area":null},{"id":"2403.19625","title":"Top-$k$ Classification and Cardinality-Aware Prediction","created":"2024-03-28","cited_by_count":5,"area":null},{"id":"2405.16845","title":"On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability","created":"2024-05-27","cited_by_count":5,"area":null},{"id":"2406.09172","title":"Generative vs. Discriminative modeling under the lens of uncertainty quantification","created":"2024-06-13","cited_by_count":2,"area":null},{"id":"2409.03542","title":"Risk-based Calibration for Generative Classifiers","created":"2024-09-05","cited_by_count":2,"area":null},{"id":"2412.20025","title":"Causal Interpretability for Adversarial Robustness: A Hybrid Generative Classification Approach","created":"2024-12-28","cited_by_count":0,"area":null},{"id":"2504.02272","title":"Generative Classifier for Domain Generalization","created":"2025-04-03","cited_by_count":0,"area":null},{"id":"2604.06689","title":"Generative Cross-Entropy: A Strictly Proper Loss for Data-Efficient Classification","created":"2026-04-08","cited_by_count":0,"area":null}],"next_cursor":null}