Stochastic Zeroth-order Discretizations of Langevin Diffusions for Bayesian Inference

4 February 2019

Papers citing "Stochastic Zeroth-order Discretizations of Langevin Diffusions for Bayesian Inference"

7 / 7 papers shown

Title
Stochastic Gradient Descent as Approximate Bayesian Inference Stephan Mandt Matthew D. Hoffman David M. Blei BDL 52 598 0 13 Apr 2017
Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis Maxim Raginsky Alexander Rakhlin Matus Telgarsky 70 521 0 13 Feb 2017
Non-asymptotic convergence analysis for the Unadjusted Langevin Algorithm Alain Durmus Eric Moulines 64 412 0 17 Jul 2015
Measuring Sample Quality with Stein's Method Jackson Gorham Lester W. Mackey 98 225 0 09 Jun 2015
Theoretical guarantees for approximate sampling from smooth and log-concave densities A. Dalalyan 66 514 0 23 Dec 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 120 1,165 0 31 Dec 2013
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 120 1,547 0 22 Sep 2013