global convergence

Convergence Rate of Stochastic k-means AISTATS 2017 Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot AISTATS 2017 Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability ICML 2017 Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence ICML 2017 Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017 Ten Steps of EM Suffice for Mixtures of Two Gaussians COLT 2017 A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization PGM 2016 Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis NeurIPS 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 Non-convex Robust PCA NeurIPS 2014 Parallel Direction Method of Multipliers NeurIPS 2014 Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NeurIPS 2012 Fast global convergence rates of gradient methods for high-dimensional statistical recovery NeurIPS 2010