Particle algorithms for maximum likelihood training of latent variable
models

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"

19 / 19 papers shown

Title
Training Latent Diffusion Models with Interacting Particle Algorithms Tim Y. J. Wang Juan Kuntz O. Deniz Akyildiz 0 0 0 18 May 2025
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes Simon Urbainczyk Aretha L. Teckentrup Jonas Latz GP 17 0 0 16 May 2025
Unbiased Approximations for Stationary Distributions of McKean-Vlasov SDEs Elsiddig Awadelkarim Neil K. Chada Ajay Jasra 30 0 0 18 Nov 2024
Kinetic interacting particle system: parameter estimation from complete and partial discrete observations Chiara Amorino Vytaut.e Pilipauskait.e 21 1 0 14 Oct 2024
Solving Fredholm Integral Equations of the Second Kind via Wasserstein Gradient Flows F. R. Crucinio A. M. Johansen 26 0 0 29 Sep 2024
Statistical Finite Elements via Interacting Particle Langevin Dynamics Alex Glyn-Davies Connor Duffin Ieva Kazlauskaite Mark Girolami O. Deniz Akyildiz 50 0 0 11 Sep 2024
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm Eli Sennesh Hao Wu Tommaso Salvatori 34 0 0 11 Aug 2024
How to beat a Bayesian adversary Zihan Ding Kexin Jin J. Latz Chenguang Liu AAML BDL 43 0 0 11 Jul 2024
Kinetic Interacting Particle Langevin Monte Carlo Paul Felix Valsecchi Oliva O. Deniz Akyildiz 37 5 0 08 Jul 2024
Particle Semi-Implicit Variational Inference Jen Ning Lim A. M. Johansen 51 3 0 30 Jun 2024
Proximal Interacting Particle Langevin Algorithms Paula Cordero Encinar F. R. Crucinio O. Deniz Akyildiz 33 4 0 20 Jun 2024
A Multiscale Perspective on Maximum Marginal Likelihood Estimation O. Deniz Akyildiz M. Ottobre I. Souttar 38 2 0 06 Jun 2024
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference Conor Hassan Matthew Sutton Antonietta Mira Kerrie Mengersen FedML 42 1 0 07 May 2024
Taming the Interacting Particle Langevin Algorithm -- the superlinear case Tim Johnston Nikolaos Makras Sotirios Sabanis 24 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 43 8 0 04 Mar 2024
Stochastic Approximation with Biased MCMC for Expectation Maximization Samuel Gruffaz Kyurae Kim Alain Durmus Jacob R. Gardner 51 5 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 76 12 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 32 11 0 23 Mar 2023
Discrete Langevin Sampler via Wasserstein Gradient Flow Haoran Sun H. Dai Bo Dai Haomin Zhou Dale Schuurmans BDL 42 19 0 29 Jun 2022