log loss

Second-Order Bounds for $[0,1]$-Valued Regression via Betting Loss COLT 2026 When and How Often is Weighted Majority Vote Optimal Under Log Loss? UAI 2026 Improving Multi-Class Calibration through Normalization-Aware Isotonic Techniques ICML 2025 Efficient Contextual Bandits with Uninformed Feedback Graphs ICML 2024 Switching the Loss Reduces the Cost in Batch Reinforcement Learning ICML 2024 Direct Loss Minimization for Sparse Gaussian Processes AISTATS 2021 Label Inference Attacks from Log-loss Scores ICML 2021 Fairness for Robust Log Loss Classification AAAI 2020 Improved Natural Language Generation via Loss Truncation ACL 2020 On Log-Loss Scores and (No) Privacy EMNLP 2020 Low-Complexity Nonparametric Bayesian Online Prediction with Universal Guarantees NeurIPS 2019 On GAP Coreference Resolution Shared Task: Insights from the 3rd Place Solution ACL 2019 Toward a Characterization of Loss Functions for Distribution Learning NeurIPS 2019 Universality of Bayesian mixture predictors ALT 2017 Mixability is Bayes Risk Curvature Relative to Log Loss JMLR 2012 Bounds on Individual Risk for Log-loss Predictors COLT 2011 Mixability is Bayes Risk Curvature Relative to Log Loss COLT 2011 Newtron: an Efficient Bandit algorithm for Online Multiclass Prediction NeurIPS 2011 Empirical Risk Minimization with Approximations of Probabilistic Grammars NeurIPS 2010