Co-occurring keywords · papers mentioning both
Papers
Convergence of Gaussian Belief Propagation Under General Pairwise Factorization: Connecting Gaussian MRF with Pairwise Linear Gaussian Model
JMLR 2019
Differentiable Linearized ADMM
ICML 2019
Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory
ICML 2019
Dimension-Free Bounds for Low-Precision Training
NeurIPS 2019
Distributed Learning over Unreliable Networks
ICML 2019
Estimating Convergence of Markov chains with L-Lag Couplings
NeurIPS 2019
Fast Convergence of Natural Gradient Descent for Over-Parameterized Neural Networks
NeurIPS 2019
Generalized Majorization-Minimization for Non-Convex Optimization
IJCAI 2019
Global Convergence of Block Coordinate Descent in Deep Learning
ICML 2019
Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities
NeurIPS 2019
Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression
COLT 2019
How to Combine Tree-Search Methods in Reinforcement Learning
AAAI 2019
Learning in the Machine: Random Backpropagation and the Deep Learning Channel (Extended Abstract)
IJCAI 2019
New Convergence Aspects of Stochastic Gradient Algorithms
JMLR 2019
Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems
NeurIPS 2019
Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms
AAAI 2019
Online Convex Matrix Factorization with Representative Regions
NeurIPS 2019
On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization
ICLR 2019
On the Convergence of Gaussian Belief Propagation with Nodes of Arbitrary Size
JMLR 2019
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes
AISTATS 2019
On the Convergence of (Stochastic) Gradient Descent with Extrapolation for Non-Convex Minimization
IJCAI 2019
Self-Weighted Multi-View Clustering with Deep Matrix Factorization
ACML 2019
SGD Converges to Global Minimum in Deep Learning via Star-convex Path
ICLR 2019
SGD: General Analysis and Improved Rates
ICML 2019
Stagewise Training Accelerates Convergence of Testing Error Over SGD
NeurIPS 2019