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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

23 February 2023
Carles Domingo-Enrich
Aram-Alexandre Pooladian
    MDE
ArXivPDFHTML

Papers citing "An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow"

10 / 10 papers shown
Title
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
58
1
0
28 Jan 2025
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics
Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics
Omar Chehab
Anna Korba
Austin Stromme
Adrien Vacher
35
2
0
13 Oct 2024
Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities
Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities
José A. Carrillo
Yifan Chen
Daniel Zhengyu Huang
Jiaoyang Huang
Dongyi Wei
AI4CE
26
3
0
22 Jul 2024
Efficient, Multimodal, and Derivative-Free Bayesian Inference With
  Fisher-Rao Gradient Flows
Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows
Yifan Chen
Daniel Zhengyu Huang
Jiaoyang Huang
Sebastian Reich
Andrew M. Stuart
48
5
0
25 Jun 2024
Theoretical Guarantees for Variational Inference with Fixed-Variance
  Mixture of Gaussians
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
Tom Huix
Anna Korba
Alain Durmus
Eric Moulines
30
7
0
06 Jun 2024
Sampling in Unit Time with Kernel Fisher-Rao Flow
Sampling in Unit Time with Kernel Fisher-Rao Flow
A. Maurais
Youssef Marzouk
26
12
0
08 Jan 2024
A connection between Tempering and Entropic Mirror Descent
A connection between Tempering and Entropic Mirror Descent
Nicolas Chopin
F. R. Crucinio
Anna Korba
20
12
0
18 Oct 2023
Sampling via Gradient Flows in the Space of Probability Measures
Sampling via Gradient Flows in the Space of Probability Measures
Yifan Chen
Daniel Zhengyu Huang
Jiaoyang Huang
Sebastian Reich
Andrew M. Stuart
30
13
0
05 Oct 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
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