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MCMC Variational Inference via Uncorrected Hamiltonian Annealing

8 July 2021

Papers citing "MCMC Variational Inference via Uncorrected Hamiltonian Annealing"

28 / 28 papers shown

Title
Learned Reference-based Diffusion Sampling for multi-modal distributions Maxence Noble Louis Grenioux Marylou Gabrié Alain Durmus DiffM 94 6 0 25 Oct 2024
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise Guodong Zhang Kyle Hsu Jianing Li Chelsea Finn Roger C. Grosse 66 40 0 21 Jul 2021
Monte Carlo Variational Auto-Encoders Achille Thin Nikita Kotelevskii Arnaud Doucet Alain Durmus Eric Moulines Maxim Panov BDL DRL 51 45 0 30 Jun 2021
Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation Justin Domke Daniel Sheldon 158 18 0 24 Jun 2019
Learning Deep Generative Models with Annealed Importance Sampling Xinqiang Ding David J. Freedman VLM BDL GAN 69 11 0 12 Jun 2019
A Contrastive Divergence for Combining Variational Inference and MCMC Francisco J. R. Ruiz Michalis K. Titsias BDL 54 60 0 10 May 2019
Deep Learning for Classical Japanese Literature Tarin Clanuwat Mikel Bober-Irizar A. Kitamoto Alex Lamb Kazuaki Yamamoto David R Ha 111 711 0 03 Dec 2018
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives George Tucker Dieterich Lawson S. Gu Chris J. Maddison BDL 74 110 0 09 Oct 2018
Improving Explorability in Variational Inference with Annealed Variational Objectives Chin-Wei Huang Shawn Tan Alexandre Lacoste Aaron Courville DRL 44 47 0 06 Sep 2018
Importance Weighting and Variational Inference Justin Domke Daniel Sheldon 62 108 0 27 Aug 2018
Hamiltonian Variational Auto-Encoder Anthony L. Caterini Arnaud Doucet Dino Sejdinovic BDL DRL 57 95 0 29 May 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 182 696 0 15 Nov 2017
Underdamped Langevin MCMC: A non-asymptotic analysis Xiang Cheng Niladri S. Chatterji Peter L. Bartlett Michael I. Jordan 92 301 0 12 Jul 2017
Reinterpreting Importance-Weighted Autoencoders Chris Cremer Q. Morris David Duvenaud BDL FAtt 111 94 0 10 Apr 2017
Approximate Inference with Amortised MCMC Yingzhen Li Richard Turner Qiang Liu BDL 66 62 0 27 Feb 2017
On the Quantitative Analysis of Decoder-Based Generative Models Yuhuai Wu Yuri Burda Ruslan Salakhutdinov Roger C. Grosse GAN 93 223 0 14 Nov 2016
Variational Inference with Hamiltonian Monte Carlo Christopher Wolf Maximilian Karl Patrick van der Smagt BDL 53 36 0 26 Sep 2016
Measuring the reliability of MCMC inference with bidirectional Monte Carlo Roger C. Grosse Siddharth Ancha Daniel M. Roy 97 27 0 07 Jun 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 298 4,812 0 04 Jan 2016
Sandwiching the marginal likelihood using bidirectional Monte Carlo Roger C. Grosse Zoubin Ghahramani Ryan P. Adams 72 62 0 08 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 280 1,246 0 01 Sep 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 322 4,197 0 21 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 122 913 0 17 Feb 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,922 0 20 Dec 2013
MCMC using Hamiltonian dynamics Radford M. Neal 293 3,282 0 09 Jun 2012
Hamiltonian Annealed Importance Sampling for partition function estimation Jascha Narain Sohl-Dickstein B. J. Culpepper 124 38 0 09 May 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 183 4,313 0 18 Nov 2011