risk minimization

Composite Multiclass Losses NeurIPS 2011 Maximum Likelihood in Cost-Sensitive Learning: Model Specification, Approximations, and Upper Bounds JMLR 2010 Consistency and Localizability JMLR 2009 On Uniform Deviations of General Empirical Risks with Unboundedness, Dependence, and High Dimensionality JMLR 2009 Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization JMLR 2009 Slow Learners are Fast NeurIPS 2009 Estimating Robust Query Models with Convex Optimization NeurIPS 2008 On the Efficient Minimization of Classification Calibrated Surrogates NeurIPS 2008 Translated Learning: Transfer Learning across Different Feature Spaces NeurIPS 2008 AdaBoost is Consistent JMLR 2007 A Risk Minimization Principle for a Class of Parzen Estimators NeurIPS 2007 AdaBoost is Consistent NeurIPS 2006 An Oracle Inequality for Clipped Regularized Risk Minimizers NeurIPS 2006 Statistical Analysis of Some Multi-Category Large Margin Classification Methods JMLR 2004