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Birth-death dynamics for sampling: Global convergence, approximations
  and their asymptotics

Birth-death dynamics for sampling: Global convergence, approximations and their asymptotics

1 November 2022
Yulong Lu
D. Slepčev
Lihan Wang
ArXivPDFHTML

Papers citing "Birth-death dynamics for sampling: Global convergence, approximations and their asymptotics"

6 / 6 papers shown
Title
New affine invariant ensemble samplers and their dimensional scaling
New affine invariant ensemble samplers and their dimensional scaling
Yifan Chen
24
0
0
05 May 2025
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals
Alexander Mielke
Jia Jie Zhu
66
1
0
28 Jan 2025
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow
Yinuo Ren
Tesi Xiao
Tanmay Gangwani
A. Rangi
Holakou Rahmanian
Lexing Ying
Subhajit Sanyal
30
2
0
22 Nov 2023
An Explicit Expansion of the Kullback-Leibler Divergence along its
  Fisher-Rao Gradient Flow
An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow
Carles Domingo-Enrich
Aram-Alexandre Pooladian
MDE
26
11
0
23 Feb 2023
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
44
20
0
04 Jan 2023
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis
  of Big Data
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data
J. Bierkens
Paul Fearnhead
Gareth O. Roberts
58
231
0
11 Jul 2016
1