ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2310.20090
  4. Cited By
Bridging the Gap Between Variational Inference and Wasserstein Gradient
  Flows

Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows

31 October 2023
Mingxuan Yi
Song Liu
    DRL
ArXivPDFHTML

Papers citing "Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows"

6 / 6 papers shown
Title
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold
Hoang Phuc Hau Luu
Hanlin Yu
Bernardo Williams
Marcelo Hartmann
Arto Klami
DRL
41
0
0
03 Oct 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
Yiheng Jiang
Sinho Chewi
Aram-Alexandre Pooladian
29
7
0
05 Dec 2023
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
Dai Hai Nguyen
Tetsuya Sakurai
Hiroshi Mamitsuka
43
0
0
25 Oct 2023
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
VarGrad: A Low-Variance Gradient Estimator for Variational Inference
Lorenz Richter
Ayman Boustati
Nikolas Nusken
Francisco J. R. Ruiz
Ömer Deniz Akyildiz
DRL
136
48
0
20 Oct 2020
On the Difficulty of Unbiased Alpha Divergence Minimization
On the Difficulty of Unbiased Alpha Divergence Minimization
Tomas Geffner
Justin Domke
58
18
0
19 Oct 2020
Markovian Score Climbing: Variational Inference with KL(p||q)
Markovian Score Climbing: Variational Inference with KL(p||q)
C. A. Naesseth
Fredrik Lindsten
David M. Blei
118
54
0
23 Mar 2020
1