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convergence analysis

394 papers

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stochastic gradient descent (1088) convergence rate (606) stochastic optimization (1060) non-convex optimization (546) gradient descent (1143) federated learning (1320) neural network optimization (1293) reinforcement learning (4122) distributed learning (563) neural network (6616)

Papers

Global Analysis of Expectation Maximization for Mixtures of Two Gaussians NIPS 2016
Convergence of an Alternating Maximization Procedure JMLR 2016
Stochastic Variance Reduction for Nonconvex Optimization ICML 2016
Convergence Analysis of Prediction Markets via Randomized Subspace Descent NIPS 2015
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization NIPS 2015
HONOR: Hybrid Optimization for NOn-convex Regularized problems NIPS 2015
On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators NIPS 2015
Fast Convergence of Regularized Learning in Games NIPS 2015
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis ICML 2015
Global Convergence of Online Limited Memory BFGS JMLR 2015
Symmetric Iterative Proportional Fitting AISTATS 2015
Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NIPS 2015
Open Problem: A (Missing) Boosting-type Convergence Result for AdaBoost.MH with Factorized Multi-class Classifiers COLT 2014
Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs AISTATS 2014
On the convergence of no-regret learning in selfish routing ICML 2014
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NIPS 2014
GeNGA: A Generalization of Natural Gradient Ascent with Positive and Negative Convergence Results ICML 2014
Provable Submodular Minimization using Wolfe's Algorithm NIPS 2014
Bregman Alternating Direction Method of Multipliers NIPS 2014
On the Convergence of Maximum Variance Unfolding JMLR 2013
Analyzing Hogwild Parallel Gaussian Gibbs Sampling NIPS 2013
Variance Reduction for Stochastic Gradient Optimization NIPS 2013
A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NIPS 2012
A Primal-Dual Convergence Analysis of Boosting JMLR 2012
Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation JMLR 2011