Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via
Non-uniform Subsampling of Gradients

Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients

20 February 2020

Xin Wang

Papers citing "Improving Sampling Accuracy of Stochastic Gradient MCMC Methods via Non-uniform Subsampling of Gradients"

8 / 8 papers shown

Title
Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems Molei Tao T. Ohsawa DRL 63 17 0 27 Jan 2020
Geometric integrators and the Hamiltonian Monte Carlo method Nawaf Bou-Rabee J. Sanz-Serna 41 97 0 14 Nov 2017
Stochastic Gradient Descent as Approximate Bayesian Inference Stephan Mandt Matthew D. Hoffman David M. Blei BDL 37 594 0 13 Apr 2017
On Markov chain Monte Carlo methods for tall data Rémi Bardenet Arnaud Doucet Chris Holmes 58 276 0 11 May 2015
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Aaron Defazio Francis R. Bach Simon Lacoste-Julien ODL 95 1,817 0 01 Jul 2014
Minimizing Finite Sums with the Stochastic Average Gradient Mark Schmidt Nicolas Le Roux Francis R. Bach 234 1,245 0 10 Sep 2013
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget Anoop Korattikara Yutian Chen Max Welling 48 243 0 19 Apr 2013
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring S. Ahn Anoop Korattikara Balan Max Welling 51 305 0 27 Jun 2012