convex loss

A General Framework for Fast Stagewise Algorithms JMLR 2015 Learning with Symmetric Label Noise: The Importance of Being Unhinged NeurIPS 2015 On Consistent Surrogate Risk Minimization and Property Elicitation COLT 2015 A Reliable Effective Terascale Linear Learning System JMLR 2014 (Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings NeurIPS 2013 Neyman-Pearson Classification, Convexity and Stochastic Constraints JMLR 2011 Neyman-Pearson classification under a strict constraint COLT 2011 Negative Results for Active Learning with Convex Losses AISTATS 2010 Structured Prediction Cascades AISTATS 2010 Classification with Gaussians and Convex Loss JMLR 2009 Online Learning with Samples Drawn from Non-identical Distributions JMLR 2009 Sparse Online Learning via Truncated Gradient JMLR 2009 Sparse Online Learning via Truncated Gradient NeurIPS 2008 Consistency of Multiclass Empirical Risk Minimization Methods Based on Convex Loss JMLR 2006