Bayesian inference via sparse Hamiltonian flows

11 March 2022

Papers citing "Bayesian inference via sparse Hamiltonian flows"

14 / 14 papers shown

Title
Tuning-free coreset Markov chain Monte Carlo Naitong Chen Jonathan H. Huggins Trevor Campbell 25 0 0 24 Oct 2024
General bounds on the quality of Bayesian coresets Trevor Campbell 42 2 0 20 May 2024
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks Balhae Kim Hyungi Lee Juho Lee BDL 21 2 0 27 Oct 2023
Coreset Markov Chain Monte Carlo Naitong Chen Trevor Campbell 18 4 0 25 Oct 2023
Embracing the chaos: analysis and diagnosis of numerical instability in variational flows Zuheng Xu Trevor Campbell 19 2 0 12 Jul 2023
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach Masaki Adachi Satoshi Hayakawa Martin Jørgensen Xingchen Wan Vu Nguyen Harald Oberhauser Michael A. Osborne 28 5 0 09 Jun 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 31 4 0 21 Apr 2023
Bayesian Pseudo-Coresets via Contrastive Divergence Piyush Tiwary Kumar Shubham V. Kashyap Prathosh A.P. 21 3 0 20 Mar 2023
Langevin Diffusion Variational Inference Tomas Geffner Justin Domke DiffM 14 19 0 16 Aug 2022
MixFlows: principled variational inference via mixed flows Zuheng Xu Na Chen Trevor Campbell 55 8 0 16 May 2022
Surrogate Likelihoods for Variational Annealed Importance Sampling M. Jankowiak Du Phan BDL 15 13 0 22 Dec 2021
No Free Lunch for Approximate MCMC J. Johndrow Natesh S. Pillai Aaron Smith 64 18 0 23 Oct 2020
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 86 222 0 06 Mar 2017
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012