Improving Explorability in Variational Inference with Annealed
Variational Objectives

Improving Explorability in Variational Inference with Annealed Variational Objectives

6 September 2018

Alexandre Lacoste

Aaron Courville

Papers citing "Improving Explorability in Variational Inference with Annealed Variational Objectives"

10 / 10 papers shown

Title
Variational Sampling of Temporal Trajectories Jurijs Nazarovs Zhichun Huang Xingjian Zhen Sourav Pal Rudrasis Chakraborty Vikas Singh 24 0 0 18 Mar 2024
R-VGAL: A Sequential Variational Bayes Algorithm for Generalised Linear Mixed Models Bao Anh Vu David Gunawan A. Zammit‐Mangion DRL 12 1 0 01 Jun 2023
Score-Based Diffusion meets Annealed Importance Sampling Arnaud Doucet Will Grathwohl A. G. Matthews Heiko Strathmann DiffM 41 43 0 16 Aug 2022
AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation Emma R. Cobian J. Hauenstein Fang Liu Daniele E. Schiavazzi 19 4 0 01 Feb 2022
MCMC Variational Inference via Uncorrected Hamiltonian Annealing Tomas Geffner Justin Domke 30 34 0 08 Jul 2021
Nested Variational Inference Heiko Zimmermann Hao Wu Babak Esmaeili Jan-Willem van de Meent BDL 27 20 0 21 Jun 2021
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference Rob Brekelmans Vaden Masrani Frank Wood Greg Ver Steeg Aram Galstyan 6 16 0 01 Jul 2020
Constraining Variational Inference with Geometric Jensen-Shannon Divergence J. Deasy Nikola Simidjievski Pietro Lió DRL 17 29 0 18 Jun 2020
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse Bin Dai Ziyu Wang David Wipf DRL 16 75 0 23 Dec 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse James Lucas George Tucker Roger C. Grosse Mohammad Norouzi CoGe DRL 33 179 0 06 Nov 2019