convergence analysis

Convergent Fitted Value Iteration with Linear Function Approximation NeurIPS 2011 Distributed Delayed Stochastic Optimization NeurIPS 2011 Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning NeurIPS 2011 Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation JMLR 2011 Lower Bounds on Rate of Convergence of Cutting Plane Methods NeurIPS 2010 On the Convergence Properties of Contrastive Divergence AISTATS 2010 Parallelized Stochastic Gradient Descent NeurIPS 2010 Random Conic Pursuit for Semidefinite Programming NeurIPS 2010 Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NeurIPS 2009 On the Convergence of the Concave-Convex Procedure NeurIPS 2009 Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm NeurIPS 2008 Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NeurIPS 2007 A General Boosting Method and its Application to Learning Ranking Functions for Web Search NeurIPS 2007 Bundle Methods for Machine Learning NeurIPS 2007 Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NeurIPS 2007 Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies JMLR 2006 Convergence of Laplacian Eigenmaps NeurIPS 2006 iLSTD: Eligibility Traces and Convergence Analysis NeurIPS 2006 Some Theory for Generalized Boosting Algorithms JMLR 2006 Convergence Theorems for Generalized Alternating Minimization Procedures JMLR 2005 Loopy Belief Propagation: Convergence and Effects of Message Errors JMLR 2005 The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins JMLR 2004