← Keywords

stochastic gradient

296 papers

Explore in graph

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

Adding vs. Averaging in Distributed Primal-Dual Optimization ICML 2015
A Complete Recipe for Stochastic Gradient MCMC NIPS 2015
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo ICML 2015
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields AISTATS 2015
Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling NIPS 2015
Exponential Integration for Hamiltonian Monte Carlo ICML 2015
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives NIPS 2014
Scalable Kernel Methods via Doubly Stochastic Gradients NIPS 2014
Stochastic Gradient Hamiltonian Monte Carlo ICML 2014
Distributed Stochastic Gradient MCMC ICML 2014
Black Box Variational Inference AISTATS 2014
Bayesian Sampling Using Stochastic Gradient Thermostats NIPS 2014
Linear Convergence with Condition Number Independent Access of Full Gradients NIPS 2013
Variance Reduction for Stochastic Gradient Optimization NIPS 2013
Stochastic Optimization of PCA with Capped MSG NIPS 2013
Stochastic Gradient Riemannian Langevin Dynamics on the Probability Simplex NIPS 2013
Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions NIPS 2013
Deep Learning Made Easier by Linear Transformations in Perceptrons AISTATS 2012
A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets NIPS 2012
Distributed Delayed Stochastic Optimization NIPS 2011
Statistical Tests for Optimization Efficiency NIPS 2011