convergence rate

The Fast Convergence of Boosting NeurIPS 2011 The Local Rademacher Complexity of Lp-Norm Multiple Kernel Learning NeurIPS 2011 The Rate of Convergence of Adaboost COLT 2011 Distributed Dual Averaging In Networks NeurIPS 2010 Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization JMLR 2010 Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs NeurIPS 2010 Fast global convergence rates of gradient methods for high-dimensional statistical recovery NeurIPS 2010 Lower Bounds on Rate of Convergence of Cutting Plane Methods NeurIPS 2010 On the Rate of Convergence of the Bagged Nearest Neighbor Estimate JMLR 2010 Optimal learning rates for Kernel Conjugate Gradient regression NeurIPS 2010 Rates of convergence for the cluster tree NeurIPS 2010 A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers NeurIPS 2009 Fast, smooth and adaptive regression in metric spaces NeurIPS 2009 Submanifold density estimation NeurIPS 2009 A Moment Bound for Multi-hinge Classifiers JMLR 2008 Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NeurIPS 2008 Fast Rates for Regularized Objectives NeurIPS 2008 Linear Classification and Selective Sampling Under Low Noise Conditions NeurIPS 2008 On the Efficient Minimization of Classification Calibrated Surrogates NeurIPS 2008 Unlabeled data: Now it helps, now it doesn't NeurIPS 2008 Catching Up Faster in Bayesian Model Selection and Model Averaging NeurIPS 2007 Progressive mixture rules are deviation suboptimal NeurIPS 2007 Consistency and Convergence Rates of One-Class SVMs and Related Algorithms JMLR 2006 Parameter Expanded Variational Bayesian Methods NeurIPS 2006 Stability Properties of Empirical Risk Minimization over Donsker Classes JMLR 2006