generalization error bound

Multi-Class Learning: From Theory to Algorithm NeurIPS 2018 Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions JMLR 2017 Nonparametric Risk Bounds for Time-Series Forecasting JMLR 2017 Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data ICML 2017 Localized Multiple Kernel Learning—A Convex Approach ACML 2016 Generalization error bounds for learning to rank: Does the length of document lists matter? ICML 2015 Analysis of Learning from Positive and Unlabeled Data NeurIPS 2014 On Flat versus Hierarchical Classification in Large-Scale Taxonomies NeurIPS 2013 Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning ICML 2013 Selective Labeling via Error Bound Minimization NeurIPS 2012 Unifying Framework for Fast Learning Rate of Non-Sparse Multiple Kernel Learning NeurIPS 2011 Tree Decomposition for Large-Scale SVM Problems JMLR 2010 Generalization Error Bounds for Threshold Decision Lists JMLR 2004 Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees JMLR 2004 Generalization Error Bounds for Bayesian Mixture Algorithms JMLR 2003 Variable Selection Using SVM-based Criteria JMLR 2003