Variational inference via Wasserstein gradient flows

31 May 2022

Silvère Bonnabel

Papers citing "Variational inference via Wasserstein gradient flows"

20 / 20 papers shown

Title
Variational Formulation of the Particle Flow Particle Filter Yinzhuang Yi Jorge Cortés Nikolay A. Atanasov 27 0 0 06 May 2025
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals Alexander Mielke Jia Jie Zhu 56 1 0 28 Jan 2025
Convergence Analysis of the Wasserstein Proximal Algorithm beyond Geodesic Convexity Shuailong Zhu Xiaohui Chen 72 0 0 28 Jan 2025
Nested Annealed Training Scheme for Generative Adversarial Networks Chang Wan Ming-Hsuan Yang Minglu Li Yunliang Jiang Zhonglong Zheng GAN 33 0 0 20 Jan 2025
Computational and Statistical Asymptotic Analysis of the JKO Scheme for Iterative Algorithms to update distributions Shang Wu Yazhen Wang 36 0 0 11 Jan 2025
Gaussian multi-target filtering with target dynamics driven by a stochastic differential equation Á. F. García-Fernández Simo Särkkä 65 0 0 29 Nov 2024
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix C. Margossian Lawrence K. Saul 26 1 0 14 Oct 2024
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold Hoang Phuc Hau Luu Hanlin Yu Bernardo Williams Marcelo Hartmann Arto Klami DRL 31 0 0 03 Oct 2024
Particle Semi-Implicit Variational Inference Jen Ning Lim A. M. Johansen 41 3 0 30 Jun 2024
Uncertainty Propagation and Bayesian Fusion on Unimodular Lie Groups from a Parametric Perspective Jikai Ye Gregory S. Chirikjian 14 1 0 07 Jan 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space Yiheng Jiang Sinho Chewi Aram-Alexandre Pooladian 25 7 0 05 Dec 2023
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference Dai Hai Nguyen Tetsuya Sakurai Hiroshi Mamitsuka 38 0 0 25 Oct 2023
VITS : Variational Inference Thompson Sampling for contextual bandits Pierre Clavier Tom Huix Alain Durmus 20 3 0 19 Jul 2023
Provable convergence guarantees for black-box variational inference Justin Domke Guillaume Garrigos Robert Mansel Gower 18 18 0 04 Jun 2023
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space Michael Diao Krishnakumar Balasubramanian Sinho Chewi Adil Salim BDL 13 20 0 10 Apr 2023
Particle Mean Field Variational Bayes Minh-Ngoc Tran Paco Tseng Robert Kohn 21 3 0 24 Mar 2023
Variational Gaussian filtering via Wasserstein gradient flows Adrien Corenflos Hany Abdulsamad 13 1 0 11 Mar 2023
Regularized Rényi divergence minimization through Bregman proximal gradient algorithms Thomas Guilmeau Émilie Chouzenoux Victor Elvira 19 3 0 09 Nov 2022
Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling Keru Wu S. Schmidler Yuansi Chen 34 50 0 27 Sep 2021
A unified framework for hard and soft clustering with regularized optimal transport Jean-Frédéric Diebold Nicolas Papadakis Arnaud Dessein Charles-Alban Deledalle FedML 39 9 0 12 Nov 2017