bayes consistency

Mastering Multiple-Expert Routing: Realizable H-Consistency and Strong Guarantees for Learning to Defer ICML 2025 Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures AISTATS 2024 Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer NeurIPS 2024 Weighted distance nearest neighbor condensing ICML 2024 On the inconsistency of separable losses for structured prediction EACL 2023 RankSEG: A Consistent Ranking-based Framework for Segmentation JMLR 2023 Structured Prediction with Stronger Consistency Guarantees NeurIPS 2023 Learning with metric losses COLT 2022 Monotone Learning COLT 2022 Multi-Class H-Consistency Bounds NeurIPS 2022 Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class NeurIPS 2020 Fast and Bayes-consistent nearest neighbors AISTATS 2020 Improving Pairwise Ranking for Multi-Label Image Classification CVPR 2017 Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions NeurIPS 2017 A Bayes consistent 1-NN classifier AISTATS 2015 On the Asymptotic Optimality of Maximum Margin Bayesian Networks AISTATS 2013 Multiclass Boosting: Theory and Algorithms NeurIPS 2011 Variable margin losses for classifier design NeurIPS 2010 Consistency and Convergence Rates of One-Class SVMs and Related Algorithms JMLR 2006