A Contrastive Divergence for Combining Variational Inference and MCMC

10 May 2019

Papers citing "A Contrastive Divergence for Combining Variational Inference and MCMC"

13 / 13 papers shown

Title
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 75 0 0 25 Feb 2025
Reparameterized Variational Rejection Sampling M. Jankowiak Du Phan DRL BDL 16 1 0 26 Sep 2023
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients Kyurae Kim Jisu Oh J. Gardner Adji Bousso Dieng Hongseok Kim BDL 24 8 0 13 Jun 2022
Parallel Tempering With a Variational Reference Nikola Surjanovic Saifuddin Syed Alexandre Bouchard-Coté Trevor Campbell 28 11 0 31 May 2022
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 31 12 0 18 Mar 2022
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework Ziyi Huang H. Lam A. Meisami Haofeng Zhang 34 4 0 31 Jan 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling M. Jankowiak Du Phan BDL 21 13 0 22 Dec 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 23 61 0 30 Apr 2021
Stein Variational Gradient Descent: many-particle and long-time asymptotics Nikolas Nusken D. M. Renger 24 22 0 25 Feb 2021
Improved Contrastive Divergence Training of Energy Based Models Yilun Du Shuang Li J. Tenenbaum Igor Mordatch 19 138 0 02 Dec 2020
Markovian Score Climbing: Variational Inference with KL(p\|\|q) C. A. Naesseth Fredrik Lindsten David M. Blei 115 54 0 23 Mar 2020
A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data Melvin Wong Bilal Farooq 9 24 0 18 Jan 2019
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012