Sparse Variational Inference: Bayesian Coresets from Scratch

7 June 2019

Papers citing "Sparse Variational Inference: Bayesian Coresets from Scratch"

9 / 9 papers shown

Title
Coreset Markov Chain Monte Carlo Naitong Chen Trevor Campbell 21 4 0 25 Oct 2023
Training Quantum Boltzmann Machines with Coresets Joshua Viszlai T. Tomesh P. Gokhale Eric R. Anschuetz Frederic T. Chong 16 0 0 26 Jul 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 39 4 0 21 Apr 2023
Regularized Rényi divergence minimization through Bregman proximal gradient algorithms Thomas Guilmeau Émilie Chouzenoux Victor Elvira 31 3 0 09 Nov 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination Masaki Adachi Satoshi Hayakawa Martin Jørgensen Harald Oberhauser Michael A. Osborne 9 19 0 09 Jun 2022
Bayesian inference via sparse Hamiltonian flows Na Chen Zuheng Xu Trevor Campbell 30 14 0 11 Mar 2022
A Novel Sequential Coreset Method for Gradient Descent Algorithms Jiawei Huang Ru Huang Wenjie Liu N. Freris Huihua Ding 21 16 0 05 Dec 2021
Likelihood Inflating Sampling Algorithm R. Entezari Radu V. Craiu Jeffrey S. Rosenthal 45 22 0 06 May 2016
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,262 0 09 Jun 2012