Machine Learning and the Future of Bayesian Computation

21 April 2023

Papers citing "Machine Learning and the Future of Bayesian Computation"

7 / 7 papers shown

Title
Predictive Coresets Bernardo Flores 52 0 0 08 Feb 2025
Parallelizing MCMC with Machine Learning Classifier and Its Criterion Based on Kullback-Leibler Divergence Tomoki Matsumoto Yuichiro Kanazawa 31 0 0 17 Jun 2024
One-Shot Federated Learning with Bayesian Pseudocoresets Tim d'Hondt Mykola Pechenizkiy Robert Peharz FedML 21 0 0 04 Jun 2024
Stable Training of Normalizing Flows for High-dimensional Variational Inference Daniel Andrade BDL TPM 19 1 0 26 Feb 2024
Parallel MCMC Without Embarrassing Failures Daniel Augusto R. M. A. de Souza Diego Mesquita Samuel Kaski Luigi Acerbi 34 11 0 22 Feb 2022
Asynchronous and Distributed Data Augmentation for Massive Data Settings Jiayuan Zhou Kshitij Khare Sanvesh Srivastava 14 3 0 18 Sep 2021
No Free Lunch for Approximate MCMC J. Johndrow Natesh S. Pillai Aaron Smith 62 18 0 23 Oct 2020