convergence analysis

A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis ICML 2015 Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization NeurIPS 2015 Convergence Analysis of Prediction Markets via Randomized Subspace Descent NeurIPS 2015 Fast Convergence of Regularized Learning in Games NeurIPS 2015 Global Convergence of Online Limited Memory BFGS JMLR 2015 HONOR: Hybrid Optimization for NOn-convex Regularized problems NeurIPS 2015 Online F-Measure Optimization NeurIPS 2015 On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NeurIPS 2015 Symmetric Iterative Proportional Fitting AISTATS 2015 Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NeurIPS 2015 Bregman Alternating Direction Method of Multipliers NeurIPS 2014 Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs AISTATS 2014 GeNGA: A Generalization of Natural Gradient Ascent with Positive and Negative Convergence Results ICML 2014 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014 On Integrated Clustering and Outlier Detection NeurIPS 2014 On the convergence of no-regret learning in selfish routing ICML 2014 Open Problem: A (Missing) Boosting-type Convergence Result for AdaBoost.MH with Factorized Multi-class Classifiers COLT 2014 Provable Submodular Minimization using Wolfe's Algorithm NeurIPS 2014 Analyzing Hogwild Parallel Gaussian Gibbs Sampling NeurIPS 2013 On the Convergence of Maximum Variance Unfolding JMLR 2013 Variance Reduction for Stochastic Gradient Optimization NeurIPS 2013 A Primal-Dual Convergence Analysis of Boosting JMLR 2012 A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NeurIPS 2012 Feature Clustering for Accelerating Parallel Coordinate Descent NeurIPS 2012 A Convergence Analysis of Log-Linear Training NeurIPS 2011