Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space

5 December 2023

Papers citing "Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space"

10 / 10 papers shown

Title
Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications Matthew Werenski Brendan Mallery Shuchin Aeron James M. Murphy 41 0 0 31 Oct 2024
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix C. Margossian Lawrence K. Saul 31 1 0 14 Oct 2024
On Naive Mean-Field Approximation for high-dimensional canonical GLMs S. Mukherjee Jiaze Qiu Subhabrata Sen 40 1 0 21 Jun 2024
Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity Hugo Lavenant Giacomo Zanella 27 2 0 11 Jun 2024
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians Tom Huix Anna Korba Alain Durmus Eric Moulines 36 7 0 06 Jun 2024
Convergence of coordinate ascent variational inference for log-concave measures via optimal transport Manuel Arnese Daniel Lacker 29 6 0 12 Apr 2024
Sampling from the Mean-Field Stationary Distribution Yunbum Kook Matthew Shunshi Zhang Sinho Chewi Murat A. Erdogdu Mufan Bill Li 64 7 0 12 Feb 2024
Measure Estimation in the Barycentric Coding Model Matthew Werenski Ruijie Jiang Abiy Tasissa Shuchin Aeron James M. Murphy 40 14 0 28 Jan 2022
Entropic estimation of optimal transport maps Aram-Alexandre Pooladian Jonathan Niles-Weed OT 82 105 0 24 Sep 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 119 95 0 10 Dec 2020