0-1 loss

Advances in PAC-Bayesian certification of deep neural networks: tighter closed-form inequalities and optimization of bounds on non-differentiable losses UAI 2026 Improving SAM Requires Rethinking its Optimization Formulation ICML 2024 Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes ICML 2024 Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker NeurIPS 2023 Minimax Risk Classifiers with 0-1 Loss JMLR 2023 Attribute Noise Robust Binary Classification (Student Abstract) AAAI 2020 Calibrated Surrogate Losses for Adversarially Robust Classification COLT 2020 Curriculum Loss: Robust Learning and Generalization against Label Corruption ICLR 2020 Embedding Dimension of Polyhedral Losses COLT 2020 Minimax Classification with 0-1 Loss and Performance Guarantees NeurIPS 2020 Algorithms for Direct 0–1 Loss Optimization in Binary Classification ICML 2013 Direct 0-1 Loss Minimization and Margin Maximization with Boosting NeurIPS 2013