Markovian Score Climbing: Variational Inference with KL(p||q)

Markovian Score Climbing: Variational Inference with KL(p||q)

23 March 2020

Fredrik Lindsten

Papers citing "Markovian Score Climbing: Variational Inference with KL(p||q)"

14 / 14 papers shown

Title
Preference learning made easy: Everything should be understood through win rate Lily H. Zhang Rajesh Ranganath 80 0 0 14 Feb 2025
Improving Tree Probability Estimation with Stochastic Optimization and Variance Reduction Tianyu Xie Musu Yuan Minghua Deng Cheng Zhang 24 0 0 09 Sep 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 48 0 0 22 Jul 2024
Torchtree: flexible phylogenetic model development and inference using PyTorch Mathieu Fourment Matthew Macaulay Christiaan J. Swanepoel Xiang Ji M. Suchard Frederick A Matsen IV BDL 29 0 0 26 Jun 2024
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs C. Margossian Loucas Pillaud-Vivien Lawrence K. Saul UD 71 2 0 20 Mar 2024
Balanced Training of Energy-Based Models with Adaptive Flow Sampling Louis Grenioux Eric Moulines Marylou Gabrié 13 2 0 01 Jun 2023
State and parameter learning with PaRIS particle Gibbs Gabriel Victorino Cardoso Yazid Janati Sylvain Le Corff Eric Moulines Jimmy Olsson 25 6 0 02 Jan 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
Variational Inference with Locally Enhanced Bounds for Hierarchical Models Tomas Geffner Justin Domke 16 5 0 08 Mar 2022
Empirical Evaluation of Biased Methods for Alpha Divergence Minimization Tomas Geffner Justin Domke 22 9 0 13 May 2021
Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models Zhijian Ou Yunfu Song BDL 24 8 0 28 May 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 320 4,203 0 23 Aug 2019
Variational Inference via $χ$ -Upper Bound Minimization Adji Bousso Dieng Dustin Tran Rajesh Ranganath John Paisley David M. Blei BDL 79 36 0 01 Nov 2016