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Gradient flows for empirical Bayes in high-dimensional linear models

Gradient flows for empirical Bayes in high-dimensional linear models

20 December 2023
Zhou Fan
Leying Guan
Yandi Shen
Yihong Wu
    BDL
ArXiv (abs)PDFHTML

Papers citing "Gradient flows for empirical Bayes in high-dimensional linear models"

4 / 4 papers shown
Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior
Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior
Yury Polyanskiy
Mark Sellke
219
1
0
26 Mar 2025
Kinetic Interacting Particle Langevin Monte Carlo
Kinetic Interacting Particle Langevin Monte Carlo
Paul Felix Valsecchi Oliva
O. Deniz Akyildiz
273
9
0
08 Jul 2024
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities
Rocco Caprio
Juan Kuntz
Samuel Power
A. M. Johansen
452
13
0
04 Mar 2024
A New Perspective On Denoising Based On Optimal Transport
A New Perspective On Denoising Based On Optimal TransportInformation and Inference A Journal of the IMA (JIII), 2023
Nicolas García Trillos
Bodhisattva Sen
OODOT
275
2
0
13 Dec 2023
1
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