← Keywords

global convergence

111 papers

Explore in graph

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

SGD Learns One-Layer Networks in WGANs ICML 2020
Functional Gradient Boosting for Learning Residual-like Networks with Statistical Guarantees AISTATS 2020
Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics NIPS 2020
Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NIPS 2020
Globally-convergent Iteratively Reweighted Least Squares for Robust Regression Problems AISTATS 2019
Blind Demixing via Wirtinger Flow with Random Initialization AISTATS 2019
Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression COLT 2019
Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities NIPS 2019
Distributed Low-rank Matrix Factorization With Exact Consensus NIPS 2019
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods NIPS 2019
Neural Trust Region/Proximal Policy Optimization Attains Globally Optimal Policy NIPS 2019
Provably Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost NIPS 2019
Neural Temporal-Difference Learning Converges to Global Optima NIPS 2019
Gradient Descent Finds Global Minima of Deep Neural Networks ICML 2019
Fast Convergence of Natural Gradient Descent for Over-Parameterized Neural Networks NIPS 2019
An Improved Analysis of Training Over-parameterized Deep Neural Networks NIPS 2019
A Convergence Theory for Deep Learning via Over-Parameterization ICML 2019
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces ICML 2019
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport NIPS 2018
Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization NIPS 2018
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator ICML 2018
Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction AISTATS 2018
Convergence Rate of Stochastic k-means AISTATS 2017
Ten Steps of EM Suffice for Mixtures of Two Gaussians COLT 2017
Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability ICML 2017