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2205.15902
Cited By
Variational inference via Wasserstein gradient flows
31 May 2022
Marc Lambert
Sinho Chewi
Francis R. Bach
Silvère Bonnabel
Philippe Rigollet
BDL
DRL
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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
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