risk bound

On Statistical Optimality of Variational Bayes AISTATS 2018 Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate NeurIPS 2018 Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds COLT 2017 Nonparametric Risk Bounds for Time-Series Forecasting JMLR 2017 Barron and Cover’s Theory in Supervised Learning and its Application to Lasso ICML 2016 On the properties of variational approximations of Gibbs posteriors JMLR 2016 Fast Function to Function Regression AISTATS 2015 Risk and Regret of Hierarchical Bayesian Learners ICML 2015 Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm JMLR 2015 Active Regression by Stratification NeurIPS 2014 Quantized Estimation of Gaussian Sequence Models in Euclidean Balls NeurIPS 2014 Cost-sensitive Multiclass Classification Risk Bounds ICML 2013 Distribution-Free Distribution Regression AISTATS 2013 Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction ICML 2013 Controlled Recognition Bounds for Visual Learning and Exploration NeurIPS 2012 Fused sparsity and robust estimation for linear models with unknown variance NeurIPS 2012 Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions COLT 2012 Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening AISTATS 2011 Sparsity Regret Bounds for Individual Sequences in Online Linear Regression COLT 2011 Risk Bounds for Levy Processes in the PAC-Learning Framework AISTATS 2010 On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization NeurIPS 2008 Risk Bounds for Randomized Sample Compressed Classifiers NeurIPS 2008 PAC-Bayes Risk Bounds for Stochastic Averages and Majority Votes of Sample-Compressed Classifiers JMLR 2007 A PAC-Bayes Risk Bound for General Loss Functions NeurIPS 2006 PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier NeurIPS 2006