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stochastic gradient

296 papers

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Also known as

SGVB SVRG SGHMC SGLD SG SGMCMC SGD

Co-occurring keywords

variance reduction (520) markov chain monte carlo (724) stochastic optimization (1060) bayesian inference (1904) stochastic gradient descent (1088) convex optimization (1320) nonconvex optimization (316) convergence rate (606) langevin dynamics (128) variational inference (2069)

Papers

Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization COLT 2019
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme NIPS 2019
Riemannian adaptive stochastic gradient algorithms on matrix manifolds ICML 2019
Almost surely constrained convex optimization ICML 2019
Optimal Mini-Batch and Step Sizes for SAGA ICML 2019
On Connecting Stochastic Gradient MCMC and Differential Privacy AISTATS 2019
Reducing Noise in GAN Training with Variance Reduced Extragradient NIPS 2019
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction NIPS 2019
A Universally Optimal Multistage Accelerated Stochastic Gradient Method NIPS 2019
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization IJCAI 2019
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization IJCAI 2019
Variational Training for Large-Scale Noisy-OR Bayesian Networks UAI 2019
An adaptive Mirror-Prox method for variational inequalities with singular operators NIPS 2019
A Bayesian Perspective on the Deep Image Prior CVPR 2019
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods NIPS 2019
Variance Reduction for Matrix Games NIPS 2019
Gradient-based Adaptive Markov Chain Monte Carlo NIPS 2019
On Scalable and Efficient Computation of Large Scale Optimal Transport ICML 2019
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization ICML 2019
Simple Stochastic Gradient Methods for Non-Smooth Non-Convex Regularized Optimization ICML 2019
Rao-Blackwellized Stochastic Gradients for Discrete Distributions ICML 2019
Bayesian Optimization of Composite Functions ICML 2019
Understanding the Role of Momentum in Stochastic Gradient Methods NIPS 2019
DTWNet: a Dynamic Time Warping Network NIPS 2019
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy AAAI 2019