bayes risk

Corruptions of Supervised Learning Problems: Typology and Mitigations JMLR 2026 An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates JMLR 2024 Information Processing Equalities and the Information–Risk Bridge JMLR 2024 Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime ICLR 2024 Asymptotic Bayes risk of semi-supervised multitask learning on Gaussian mixture AISTATS 2023 BAYES RISK CTC: CONTROLLABLE CTC ALIGNMENT IN SEQUENCE-TO-SEQUENCE TASKS ICLR 2023 Bayes Risk Transducer: Transducer with Controllable Alignment Prediction Interspeech 2023 Coder Reviewer Reranking for Code Generation ICML 2023 Fundamental Tradeoffs in Learning with Prior Information ICML 2023 Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition NeurIPS 2023 O-1: Self-training with Oracle and 1-best Hypothesis Interspeech 2023 Transformers are Meta-Reinforcement Learners ICML 2022 A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models NeurIPS 2021 NeuMiss networks: differentiable programming for supervised learning with missing values. NeurIPS 2020 A Direct Approach for Sparse Quadratic Discriminant Analysis JMLR 2018 On Bayes Risk Lower Bounds JMLR 2016 On Elicitation Complexity NeurIPS 2015 Sparsity and the Truncated l^2-norm AISTATS 2014 Divergences and Risks for Multiclass Experiments COLT 2012 Mixability is Bayes Risk Curvature Relative to Log Loss JMLR 2012 Mixability is Bayes Risk Curvature Relative to Log Loss COLT 2011 On the Consistency of Multi-Label Learning COLT 2011 Universal Kernels on Non-Standard Input Spaces NeurIPS 2010 Linear Classification and Selective Sampling Under Low Noise Conditions NeurIPS 2008 AdaBoost is Consistent JMLR 2007