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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

Regularized linear autoencoders recover the principal components, eventually NIPS 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization NIPS 2020
Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities NIPS 2019
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate AISTATS 2019
SGD: General Analysis and Improved Rates ICML 2019
Differentiable Linearized ADMM ICML 2019
Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory ICML 2019
Learning in the Machine: Random Backpropagation and the Deep Learning Channel (Extended Abstract) IJCAI 2019
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification IJCAI 2019
How to Combine Tree-Search Methods in Reinforcement Learning AAAI 2019
Distributed Learning over Unreliable Networks ICML 2019
Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems NIPS 2019
A Solvable High-Dimensional Model of GAN NIPS 2019
Online Convex Matrix Factorization with Representative Regions NIPS 2019
Towards a Better Understanding and Regularization of GAN Training Dynamics UAI 2019
On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size JMLR 2019
Convergence of Gaussian Belief Propagation Under General Pairwise Factorization: Connecting Gaussian MRF with Pairwise Linear Gaussian Model JMLR 2019
A New Approach to Laplacian Solvers and Flow Problems JMLR 2019
Dimension-Free Bounds for Low-Precision Training NIPS 2019
Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NIPS 2019
Conditions on Features for Temporal Difference-Like Methods to Converge IJCAI 2019
Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms AAAI 2019
Generalized Majorization-Minimization for Non-Convex Optimization IJCAI 2019
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization IJCAI 2019
The Implicit Bias of AdaGrad on Separable Data NIPS 2019