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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

Convergence Analysis of Gradient Descent for Eigenvector Computation IJCAI 2018
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization IJCAI 2018
Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018
A Unified Analysis of Stochastic Momentum Methods for Deep Learning IJCAI 2018
Alternating Randomized Block Coordinate Descent ICML 2018
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization IJCAI 2018
Which Training Methods for GANs do actually Converge? ICML 2018
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption ICML 2018
Probabilistic Completeness of Randomized Possibility Graphs Applied to Bipedal Walking in Semi-unstructured Environments RSS 2017
Process-constrained batch Bayesian optimisation NIPS 2017
Stochastic Mirror Descent in Variationally Coherent Optimization Problems NIPS 2017
Acceleration and Averaging in Stochastic Descent Dynamics NIPS 2017
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium NIPS 2017
Asynchronous Coordinate Descent under More Realistic Assumptions NIPS 2017
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation CVPR 2017
The Numerics of GANs NIPS 2017
Nonlinear Acceleration of Stochastic Algorithms NIPS 2017
Convergence Analysis of Two-layer Neural Networks with ReLU Activation NIPS 2017
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines AISTATS 2017
A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe AISTATS 2017
Filter Flow Made Practical: Massively Parallel and Lock-Free CVPR 2017
An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization AISTATS 2016
Cyclades: Conflict-free Asynchronous Machine Learning NIPS 2016
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives ICML 2016
On the Influence of Momentum Acceleration on Online Learning JMLR 2016