Co-occurring keywords · papers mentioning both
Papers
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization
IJCAI 2018
On Truly Block Eigensolvers via Riemannian Optimization
AISTATS 2018
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption
ICML 2018
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization
IJCAI 2018
Which Training Methods for GANs do actually Converge?
ICML 2018
Acceleration and Averaging in Stochastic Descent Dynamics
NeurIPS 2017
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation
CVPR 2017
Asynchronous Coordinate Descent under More Realistic Assumptions
NeurIPS 2017
A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe
AISTATS 2017
Convergence Analysis of Two-layer Neural Networks with ReLU Activation
NeurIPS 2017
Filter Flow Made Practical: Massively Parallel and Lock-Free
CVPR 2017
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
NeurIPS 2017
Nonlinear Acceleration of Stochastic Algorithms
NeurIPS 2017
Probabilistic Completeness of Randomized Possibility Graphs Applied to Bipedal Walking in Semi-unstructured Environments
RSS 2017
Process-constrained batch Bayesian optimisation
NeurIPS 2017
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines
AISTATS 2017
Stochastic Mirror Descent in Variationally Coherent Optimization Problems
NeurIPS 2017
The Numerics of GANs
NeurIPS 2017
An Improved Convergence Analysis of Cyclic Block Coordinate Descent-type Methods for Strongly Convex Minimization
AISTATS 2016
Convergence of an Alternating Maximization Procedure
JMLR 2016
Cyclades: Conflict-free Asynchronous Machine Learning
NeurIPS 2016
Global Analysis of Expectation Maximization for Mixtures of Two Gaussians
NeurIPS 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
Stochastic Variance Reduction for Nonconvex Optimization
ICML 2016