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Efficient, Multimodal, and Derivative-Free Bayesian Inference With
  Fisher-Rao Gradient Flows

Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows

25 June 2024
Yifan Chen
Daniel Zhengyu Huang
Jiaoyang Huang
Sebastian Reich
Andrew M. Stuart
ArXivPDFHTML

Papers citing "Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows"

4 / 4 papers shown
Title
New affine invariant ensemble samplers and their dimensional scaling
New affine invariant ensemble samplers and their dimensional scaling
Yifan Chen
14
0
0
05 May 2025
Spectral-factorized Positive-definite Curvature Learning for NN Training
Spectral-factorized Positive-definite Curvature Learning for NN Training
Wu Lin
Felix Dangel
Runa Eschenhagen
Juhan Bae
Richard E. Turner
Roger B. Grosse
45
0
0
10 Feb 2025
Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient
  Flow
Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow
Yuling Yan
Kaizheng Wang
Philippe Rigollet
39
20
0
04 Jan 2023
Birth-death dynamics for sampling: Global convergence, approximations
  and their asymptotics
Birth-death dynamics for sampling: Global convergence, approximations and their asymptotics
Yulong Lu
D. Slepčev
Lihan Wang
32
22
0
01 Nov 2022
1