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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

Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo NIPS 2016
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM NIPS 2016
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters NIPS 2016
Stochastic Three-Composite Convex Minimization NIPS 2016
Accelerating Stochastic Composition Optimization NIPS 2016
Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization AISTATS 2016
DSA: Decentralized Double Stochastic Averaging Gradient Algorithm JMLR 2016
Scalable Adaptive Stochastic Optimization Using Random Projections NIPS 2016
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems NIPS 2016
Scalable MCMC for Mixed Membership Stochastic Blockmodels AISTATS 2016
Stochastic Gradient MCMC with Stale Gradients NIPS 2016
A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order NIPS 2016
Bayesian Optimization with Robust Bayesian Neural Networks NIPS 2016
Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics ICML 2016
Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences NIPS 2016
Stochastic Gradient Geodesic MCMC Methods NIPS 2016
A Multi-Batch L-BFGS Method for Machine Learning NIPS 2016
Learning Wake-Sleep Recurrent Attention Models NIPS 2015
Learning with Incremental Iterative Regularization NIPS 2015
Local Expectation Gradients for Black Box Variational Inference NIPS 2015
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients NIPS 2015
StopWasting My Gradients: Practical SVRG NIPS 2015
A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate ICML 2015
Variational Dropout and the Local Reparameterization Trick NIPS 2015
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap ICML 2015