A Stein variational Newton method

8 June 2018

Youssef Marzouk

Papers citing "A Stein variational Newton method"

20 / 20 papers shown

Title
New affine invariant ensemble samplers and their dimensional scaling Yifan Chen 81 0 0 05 May 2025
ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning Eric T. Nalisnick Christophe Ley Padhraic Smyth Thomas Hamelryck BDL 81 1 0 30 Oct 2024
Stein Points W. Chen Lester W. Mackey Jackson Gorham François‐Xavier Briol Chris J. Oates 58 102 0 27 Mar 2018
Vprop: Variational Inference using RMSprop Mohammad Emtiyaz Khan Zuozhu Liu Voot Tangkaratt Y. Gal BDL 55 17 0 04 Dec 2017
Riemannian Stein Variational Gradient Descent for Bayesian Inference Chang-rui Liu Jun Zhu 55 67 0 30 Nov 2017
Stein Variational Message Passing for Continuous Graphical Models Dilin Wang Zhe Zeng Qiang Liu 52 3 0 20 Nov 2017
Variational Adaptive-Newton Method for Explorative Learning Mohammad Emtiyaz Khan Wu Lin Voot Tangkaratt Zuozhu Liu Didrik Nielsen ODL 56 19 0 15 Nov 2017
Message Passing Stein Variational Gradient Descent Jingwei Zhuo Chang-rui Liu Jiaxin Shi Jun Zhu Ning Chen Bo Zhang 54 92 0 13 Nov 2017
Stein Variational Gradient Descent as Gradient Flow Qiang Liu OT 67 275 0 25 Apr 2017
Stein Variational Adaptive Importance Sampling J. Han Qiang Liu 46 28 0 18 Apr 2017
VAE Learning via Stein Variational Gradient Descent Yunchen Pu Zhe Gan Ricardo Henao Chunyuan Li Shaobo Han Lawrence Carin DRL 35 6 0 18 Apr 2017
Stein Variational Policy Gradient Yang Liu Prajit Ramachandran Qiang Liu Jian-wei Peng 66 139 0 07 Apr 2017
Inference via low-dimensional couplings Alessio Spantini Daniele Bigoni Youssef Marzouk 67 119 0 17 Mar 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 65 1,091 0 16 Aug 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 242 4,778 0 04 Jan 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 296 4,167 0 21 May 2015
Dimension-independent likelihood-informed MCMC Tiangang Cui K. Law Youssef M. Marzouk 49 198 0 13 Nov 2014
Likelihood-informed dimension reduction for nonlinear inverse problems Tiangang Cui James Martin Youssef M. Marzouk A. Solonen Alessio Spantini 67 159 0 19 Mar 2014
Nonparametric variational inference S. Gershman Matt Hoffman David M. Blei BDL 104 153 0 18 Jun 2012
MCMC using Hamiltonian dynamics Radford M. Neal 290 3,276 0 09 Jun 2012