Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation

24 June 2019

Papers citing "Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation"

6 / 6 papers shown

Title
Towards Model-Agnostic Posterior Approximation for Fast and Accurate Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 29 0 0 13 Mar 2024
eVAE: Evolutionary Variational Autoencoder Zhangkai Wu LongBing Cao Lei Qi BDL DRL 33 10 0 01 Jan 2023
Variational Inference with Locally Enhanced Bounds for Hierarchical Models Tomas Geffner Justin Domke 29 5 0 08 Mar 2022
MCMC Variational Inference via Uncorrected Hamiltonian Annealing Tomas Geffner Justin Domke 33 34 0 08 Jul 2021
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization Abhinav Agrawal Daniel Sheldon Justin Domke TPM BDL 8 38 0 18 Jun 2020
Markovian Score Climbing: Variational Inference with KL(p\|\|q) C. A. Naesseth Fredrik Lindsten David M. Blei 123 54 0 23 Mar 2020