Stein Variational Adaptive Importance Sampling

18 April 2017

Papers citing "Stein Variational Adaptive Importance Sampling"

11 / 11 papers shown

Title
ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning Eric T. Nalisnick Christophe Ley Padhraic Smyth Thomas Hamelryck BDL 52 1 0 30 Oct 2024
Factor Representation and Decision Making in Stock Markets Using Deep Reinforcement Learning Zhaolu Dong Shan Huang Simiao Ma Yining Qian AIFin 31 1 0 03 Aug 2021
Stein's Method Meets Computational Statistics: A Review of Some Recent Developments Andreas Anastasiou Alessandro Barp F. Briol B. Ebner Robert E. Gaunt ... Qiang Liu Lester W. Mackey Chris J. Oates Gesine Reinert Yvik Swan 22 35 0 07 May 2021
Multilevel Stein variational gradient descent with applications to Bayesian inverse problems Terrence Alsup Luca Venturi Benjamin Peherstorfer 26 5 0 05 Apr 2021
Semantics Preserving Adversarial Learning Ousmane Amadou Dia Elnaz Barshan Reza Babanezhad AAML GAN 24 2 0 10 Mar 2019
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 61 114 0 08 Jun 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
Stein Variational Gradient Descent as Gradient Flow Qiang Liu OT 28 271 0 25 Apr 2017
Inference via low-dimensional couplings Alessio Spantini Daniele Bigoni Youssef Marzouk 38 119 0 17 Mar 2017
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 86 222 0 06 Mar 2017
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 107 324 0 09 Feb 2016