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Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference

25 October 2023

Papers citing "Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference"

25 / 25 papers shown

Title
Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization Dai Hai Nguyen Hiroshi Mamitsuka Atsuyoshi Nakamura 48 0 0 24 May 2025
ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning Eric T. Nalisnick Christophe Ley Padhraic Smyth Thomas Hamelryck BDL 126 1 0 30 Oct 2024
Particle Semi-Implicit Variational Inference Jen Ning Lim A. M. Johansen 118 7 0 30 Jun 2024
Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows Mingxuan Yi Song Liu DRL 74 8 0 31 Oct 2023
Semi-Implicit Variational Inference via Score Matching Longlin Yu Chuxu Zhang 77 17 0 19 Aug 2023
Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems Dai Hai Nguyen Tetsuya Sakurai 94 2 0 31 Jul 2023
Particle-based Variational Inference with Preconditioned Functional Gradient Flow Hanze Dong Xi Wang Yong Lin Tong Zhang 96 20 0 25 Nov 2022
Mean-field Variational Inference via Wasserstein Gradient Flow Rentian Yao Yun Yang DRL 66 17 0 17 Jul 2022
Variational inference via Wasserstein gradient flows Marc Lambert Sinho Chewi Francis R. Bach Silvère Bonnabel Philippe Rigollet BDL DRL 101 77 0 31 May 2022
On a linear fused Gromov-Wasserstein distance for graph structured data Dai Hai Nguyen Koji Tsuda OT 45 13 0 09 Mar 2022
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework Chao Zhang Zhijian Li Hui Qian Xin Du 71 10 0 02 Dec 2021
Flexible Variational Bayes based on a Copula of a Mixture David Gunawan Robert Kohn David J. Nott 107 12 0 28 Jun 2021
Learning subtree pattern importance for Weisfeiler-Lehmanbased graph kernels Dai Hai Nguyen Canh Hao Nguyen Hiroshi Mamitsuka 56 9 0 08 Jun 2021
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 670 10,591 0 17 Feb 2020
Gradient Flow Algorithms for Density Propagation in Stochastic Systems Kenneth F. Caluya A. Halder 72 26 0 01 Aug 2019
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations Wu Lin Mohammad Emtiyaz Khan Mark Schmidt BDL 99 71 0 07 Jun 2019
GOT: An Optimal Transport framework for Graph comparison Hermina Petric Maretic Mireille El Gheche Giovanni Chierchia P. Frossard OT 149 120 0 05 Jun 2019
Finding Mixed Nash Equilibria of Generative Adversarial Networks Ya-Ping Hsieh Chen Liu S. Chakrabartty GAN 96 93 0 23 Oct 2018
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models Mohammad Emtiyaz Khan Didrik Nielsen BDL 119 63 0 12 Jul 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 89 128 0 28 May 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 230 698 0 15 Nov 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 121 1,095 0 16 Aug 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 374 4,829 0 04 Jan 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 947 9,384 0 06 Jun 2015
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 184 1,167 0 31 Dec 2013