Fast Black-box Variational Inference through Stochastic Trust-Region
Optimization

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Fast Black-box Variational Inference through Stochastic Trust-Region Optimization

7 June 2017

Michael I. Jordan

Jon D. McAuliffe

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Papers citing "Fast Black-box Variational Inference through Stochastic Trust-Region Optimization"

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Title
Provable convergence guarantees for black-box variational inference Justin Domke Guillaume Garrigos Robert Mansel Gower 150 23 0 04 Jun 2023
On the Convergence of Black-Box Variational Inference Kyurae Kim Jisu Oh Kaiwen Wu Yi-An Ma Jacob R. Gardner BDL 136 17 0 24 May 2023
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models Oleg Arenz Philipp Dahlinger Zihan Ye Michael Volpp Gerhard Neumann 152 18 0 23 Sep 2022
Trust-Region Variational Inference with Gaussian Mixture Models Oleg Arenz Mingjun Zhong Gerhard Neumann 118 22 0 10 Jul 2019
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation Justin Domke Daniel Sheldon 228 18 0 24 Jun 2019
Provable Gradient Variance Guarantees for Black-Box Variational Inference Justin Domke DRL 98 23 0 19 Jun 2019
Provable Smoothness Guarantees for Black-Box Variational Inference Justin Domke 124 37 0 24 Jan 2019
Bayesian Deep Net GLM and GLMM Minh-Ngoc Tran Nghia Nguyen David J. Nott Robert Kohn BDL 211 76 0 25 May 2018
Variational Inference over Non-differentiable Cardiac Simulators using Bayesian Optimization Adam McCarthy Blanca Rodriguez A. Mincholé 183 5 0 09 Dec 2017
Stochastic Cubic Regularization for Fast Nonconvex Optimization Nilesh Tripuraneni Mitchell Stern Chi Jin Jeffrey Regier Michael I. Jordan 137 176 0 08 Nov 2017