generalization error

Supervised Learning with Similarity Functions NeurIPS 2012 Active Boosted Learning (ActBoost) AISTATS 2011 A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin JMLR 2011 Generalizing from Several Related Classification Tasks to a New Unlabeled Sample NeurIPS 2011 How Do Humans Teach: On Curriculum Learning and Teaching Dimension NeurIPS 2011 ShareBoost: Efficient multiclass learning with feature sharing NeurIPS 2011 Sparse Features for PCA-Like Linear Regression NeurIPS 2011 The Sample Complexity of Self-Verifying Bayesian Active Learning AISTATS 2011 Asymptotic Equivalence of Bayes Cross Validation and Widely Applicable Information Criterion in Singular Learning Theory JMLR 2010 On the Theory of Learnining with Privileged Information NeurIPS 2010 Permutation Complexity Bound on Out-Sample Error NeurIPS 2010 Stochastic Complexity and Generalization Error of a Restricted Boltzmann Machine in Bayesian Estimation JMLR 2010 Analysis of Perceptron-Based Active Learning JMLR 2009 Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes NeurIPS 2009 Regularized Distance Metric Learning:Theory and Algorithm NeurIPS 2009 Active Learning by Spherical Subdivision JMLR 2008 An Information Criterion for Variable Selection in Support Vector Machines JMLR 2008 Probabilistic Characterization of Random Decision Trees JMLR 2008 Ranking Categorical Features Using Generalization Properties JMLR 2008 Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption JMLR 2007 Progressive mixture rules are deviation suboptimal NeurIPS 2007 Topmoumoute Online Natural Gradient Algorithm NeurIPS 2007 Active learning for misspecified generalized linear models NeurIPS 2006 Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error JMLR 2006 Tighter PAC-Bayes Bounds NeurIPS 2006