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expected risk

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Co-occurring keywords · papers mentioning both

generalization bound (2) pac-bayes bound (2) risk bound (2) active learning (2) label noise (1) multi-class classification (1) sequential optimization (1) minimax analysis (1) posterior entropy (1) control authority (1)

Papers

Does Label Smoothing Help Deep Partial Label Learning? ICML 2024 Mitigating Label Noise on Graphs via Topological Sample Selection ICML 2024 PAC-Bayes Analysis Beyond the Usual Bounds NeurIPS 2020 Tight Bounds for the Expected Risk of Linear Classifiers and PAC-Bayes Finite-Sample Guarantees AISTATS 2014 Active Learning for Multi-Objective Optimization ICML 2013 Controlled Recognition Bounds for Visual Learning and Exploration NeurIPS 2012 Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds NeurIPS 2006