Batch and match: black-box variational inference with a score-based
divergence

Batch and match: black-box variational inference with a score-based divergence

22 February 2024

Loucas Pillaud-Vivien

Robert Mansel Gower

Lawrence K. Saul

Papers citing "Batch and match: black-box variational inference with a score-based divergence"

17 / 17 papers shown

Title
Batch, match, and patch: low-rank approximations for score-based variational inference Chirag Modi Diana Cai Lawrence K. Saul BDL 73 1 0 29 Oct 2024
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix C. Margossian Lawrence K. Saul 73 2 0 14 Oct 2024
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs C. Margossian Loucas Pillaud-Vivien Lawrence K. Saul UD 102 2 0 20 Mar 2024
On the Convergence of Black-Box Variational Inference Kyurae Kim Jisu Oh Kaiwen Wu Yi-An Ma Jacob R. Gardner BDL 59 15 0 24 May 2023
Sample Average Approximation for Black-Box VI Javier Burroni Justin Domke Daniel Sheldon 43 4 0 13 Apr 2023
Robust, Accurate Stochastic Optimization for Variational Inference Akash Kumar Dhaka Alejandro Catalina Michael Riis Andersen Maans Magnusson Jonathan H. Huggins Aki Vehtari 51 34 0 01 Sep 2020
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 218 3,893 0 12 Jul 2019
Provable Gradient Variance Guarantees for Black-Box Variational Inference Justin Domke DRL 36 21 0 19 Jun 2019
Pyro: Deep Universal Probabilistic Programming Eli Bingham Jonathan P. Chen M. Jankowiak F. Obermeyer Neeraj Pradhan Theofanis Karaletsos Rohit Singh Paul A. Szerlip Paul Horsfall Noah D. Goodman BDL GP 155 1,053 0 18 Oct 2018
Black-box Variational Inference for Stochastic Differential Equations Tom Ryder Andrew Golightly A. Mcgough D. Prangle 60 58 0 09 Feb 2018
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu Jason D. Lee Michael I. Jordan 100 483 0 10 Feb 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 256 4,787 0 04 Jan 2016
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions Mohammad Emtiyaz Khan Reza Babanezhad Wu Lin Mark Schmidt Masashi Sugiyama 47 49 0 31 Oct 2015
Provable Bayesian Inference via Particle Mirror Descent Bo Dai Niao He H. Dai Le Song 106 73 0 09 Jun 2015
Measuring Sample Quality with Stein's Method Jackson Gorham Lester W. Mackey 98 225 0 09 Jun 2015
A trust-region method for stochastic variational inference with applications to streaming data Lucas Theis Matthew D. Hoffman 48 42 0 28 May 2015
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 131 1,166 0 31 Dec 2013