global convergence

111 papers

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Co-occurring keywords

policy gradient (518) non-convex optimization (546) gradient descent (1143) stochastic gradient descent (1088) neural network (6616) neural network optimization (1293) convergence rate (606) convex optimization (1320) sample complexity (1158) expectation maximization (254)

Papers

Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017

Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence ICML 2017

Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot AISTATS 2017

Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis NIPS 2016

A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization PGM 2016

Escaping From Saddle Points — Online Stochastic Gradient for Tensor Decomposition COLT 2015

Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm ICML 2014

l0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence CVPR 2014

Parallel Direction Method of Multipliers NIPS 2014

Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NIPS 2012

Fast global convergence rates of gradient methods for high-dimensional statistical recovery NIPS 2010