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Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation

Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation

23 March 2023
Ö. Deniz Akyildiz
F. R. Crucinio
Mark Girolami
Tim Johnston
Sotirios Sabanis
ArXivPDFHTML

Papers citing "Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation"

11 / 11 papers shown
Title
Kinetic interacting particle system: parameter estimation from complete
  and partial discrete observations
Kinetic interacting particle system: parameter estimation from complete and partial discrete observations
Chiara Amorino
Vytaut.e Pilipauskait.e
21
1
0
14 Oct 2024
Statistical Finite Elements via Interacting Particle Langevin Dynamics
Statistical Finite Elements via Interacting Particle Langevin Dynamics
Alex Glyn-Davies
Connor Duffin
Ieva Kazlauskaite
Mark Girolami
O. Deniz Akyildiz
35
0
0
11 Sep 2024
How to beat a Bayesian adversary
How to beat a Bayesian adversary
Zihan Ding
Kexin Jin
J. Latz
Chenguang Liu
AAML
BDL
25
0
0
11 Jul 2024
Kinetic Interacting Particle Langevin Monte Carlo
Kinetic Interacting Particle Langevin Monte Carlo
Paul Felix Valsecchi Oliva
O. Deniz Akyildiz
28
4
0
08 Jul 2024
Proximal Interacting Particle Langevin Algorithms
Proximal Interacting Particle Langevin Algorithms
Paula Cordero Encinar
F. R. Crucinio
O. Deniz Akyildiz
23
3
0
20 Jun 2024
A Multiscale Perspective on Maximum Marginal Likelihood Estimation
A Multiscale Perspective on Maximum Marginal Likelihood Estimation
O. Deniz Akyildiz
M. Ottobre
I. Souttar
31
2
0
06 Jun 2024
Taming the Interacting Particle Langevin Algorithm -- the superlinear
  case
Taming the Interacting Particle Langevin Algorithm -- the superlinear case
Tim Johnston
Nikolaos Makras
Sotirios Sabanis
14
2
0
28 Mar 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
30
7
0
04 Mar 2024
Stochastic Approximation with Biased MCMC for Expectation Maximization
Stochastic Approximation with Biased MCMC for Expectation Maximization
Samuel Gruffaz
Kyurae Kim
Alain Durmus
Jacob R. Gardner
38
5
0
27 Feb 2024
Tuning-Free Maximum Likelihood Training of Latent Variable Models via
  Coin Betting
Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting
Louis Sharrock
Daniel Dodd
Christopher Nemeth
22
6
0
24 May 2023
Convex Analysis of the Mean Field Langevin Dynamics
Convex Analysis of the Mean Field Langevin Dynamics
Atsushi Nitanda
Denny Wu
Taiji Suzuki
MLT
59
64
0
25 Jan 2022
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