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Particle algorithms for maximum likelihood training of latent variable models

27 April 2022

Papers citing "Particle algorithms for maximum likelihood training of latent variable models"

20 / 20 papers shown

Title
Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows Francesca R. Crucinio Sahani Pathiraja 53 0 0 06 Jun 2025
Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm James Cuin Davide Carbone O. Deniz Akyildiz 55 0 0 23 May 2025
Training Latent Diffusion Models with Interacting Particle Algorithms Tim Y. J. Wang Juan Kuntz O. Deniz Akyildiz 118 0 0 18 May 2025
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes Simon Urbainczyk Aretha L. Teckentrup Jonas Latz GP 118 0 0 16 May 2025
Unbiased Approximations for Stationary Distributions of McKean-Vlasov SDEs Elsiddig Awadelkarim Neil K. Chada Ajay Jasra 79 0 0 18 Nov 2024
Kinetic interacting particle system: parameter estimation from complete and partial discrete observations Chiara Amorino Vytaut.e Pilipauskait.e 67 1 0 14 Oct 2024
Solving Fredholm Integral Equations of the Second Kind via Wasserstein Gradient Flows F. R. Crucinio A. M. Johansen 46 1 0 29 Sep 2024
Statistical Finite Elements via Interacting Particle Langevin Dynamics Alex Glyn-Davies Connor Duffin Ieva Kazlauskaite Mark Girolami O. Deniz Akyildiz 85 0 0 11 Sep 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm Eli Sennesh Hao Wu Tommaso Salvatori 74 0 0 11 Aug 2024
How to beat a Bayesian adversary Zihan Ding Kexin Jin J. Latz Chenguang Liu AAML BDL 80 0 0 11 Jul 2024
Kinetic Interacting Particle Langevin Monte Carlo Paul Felix Valsecchi Oliva O. Deniz Akyildiz 110 6 0 08 Jul 2024
Particle Semi-Implicit Variational Inference Jen Ning Lim A. M. Johansen 118 7 0 30 Jun 2024
Proximal Interacting Particle Langevin Algorithms Paula Cordero Encinar F. R. Crucinio O. Deniz Akyildiz 109 5 0 20 Jun 2024
A Multiscale Perspective on Maximum Marginal Likelihood Estimation O. Deniz Akyildiz M. Ottobre I. Souttar 89 4 0 06 Jun 2024
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference Conor Hassan Matthew Sutton Antonietta Mira Kerrie Mengersen FedML 63 1 0 07 May 2024
Taming the Interacting Particle Langevin Algorithm: The Superlinear case Tim Johnston Nikolaos Makras Sotirios Sabanis 111 2 0 28 Mar 2024
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities Rocco Caprio Juan Kuntz Samuel Power A. M. Johansen 90 10 0 04 Mar 2024
Stochastic Approximation with Biased MCMC for Expectation Maximization Samuel Gruffaz Kyurae Kim Alain Durmus Jacob R. Gardner 77 6 0 27 Feb 2024
Implicit Diffusion: Efficient Optimization through Stochastic Sampling Pierre Marion Anna Korba Peter Bartlett Mathieu Blondel Valentin De Bortoli Arnaud Doucet Felipe Llinares-López Courtney Paquette Quentin Berthet 154 15 0 08 Feb 2024
Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation Ö. Deniz Akyildiz F. R. Crucinio Mark Girolami Tim Johnston Sotirios Sabanis 134 13 0 23 Mar 2023