Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients

13 June 2022

Papers citing "Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients"

9 / 9 papers shown

Title
Understanding and mitigating difficulties in posterior predictive evaluation Abhinav Agrawal Justin Domke UQCV 22 0 0 30 May 2024
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution Johannes Zenn Robert Bamler 19 0 0 23 May 2024
On the Convergence of Black-Box Variational Inference Kyurae Kim Jisu Oh Kaiwen Wu Yi-An Ma J. Gardner BDL 25 15 0 24 May 2023
Parallel Tempering With a Variational Reference Nikola Surjanovic Saifuddin Syed Alexandre Bouchard-Coté Trevor Campbell 15 10 0 31 May 2022
Wide Mean-Field Bayesian Neural Networks Ignore the Data Beau Coker W. Bruinsma David R. Burt Weiwei Pan Finale Doshi-Velez UQCV BDL 29 21 0 23 Feb 2022
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport Liyi Zhang David M. Blei C. A. Naesseth 9 6 0 03 Feb 2022
On the Difficulty of Unbiased Alpha Divergence Minimization Tomas Geffner Justin Domke 44 18 0 19 Oct 2020
Markovian Score Climbing: Variational Inference with KL(p\|\|q) C. A. Naesseth Fredrik Lindsten David M. Blei 108 54 0 23 Mar 2020
A Rule for Gradient Estimator Selection, with an Application to Variational Inference Tomas Geffner Justin Domke 14 6 0 05 Nov 2019