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expected loss

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learning theory (4) domain adaptation (2) transfer learning (2) multi-source learning (2) arm elimination (1) conditional value at risk (1) loss distribution (1) minimax risk classifier (1) mode finding (1) multiple inference (1)

Papers

A Survey of Learning Criteria Going beyond the Usual Risk (Abstract Reprint) AAAI 2024 Minimax Risk Classifiers for Mislabeled Data: a Study on Patient Outcome Prediction Tasks MLHC 2024 Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss NeurIPS 2024 The Risks of Recourse in Binary Classification AISTATS 2024 Best Model Identification: A Rested Bandit Formulation ICML 2021 Learning Bounds for Risk-sensitive Learning NeurIPS 2020 Solving Multiple Inference by Minimizing Expected Loss PGM 2020 GLASSES: Relieving The Myopia Of Bayesian Optimisation AISTATS 2016 Learning from Multiple Sources JMLR 2008 Learning from Multiple Sources NeurIPS 2006