Computing Bayes: From Then 'Til Now'

1 August 2022

Papers citing "Computing Bayes: From Then 'Til Now'"

8 / 8 papers shown

Title
Conditioning diffusion models by explicit forward-backward bridging Adrien Corenflos Zheng Zhao Simo Särkkä Jens Sjölund Thomas B. Schon DiffM 58 5 0 22 May 2024
Scalability of Metropolis-within-Gibbs schemes for high-dimensional Bayesian models Filippo Ascolani Gareth O. Roberts Giacomo Zanella 52 6 0 14 Mar 2024
Risk-Sensitive Stochastic Optimal Control as Rao-Blackwellized Markovian Score Climbing Hany Abdulsamad Sahel Iqbal Adrien Corenflos Simo Särkkä 38 2 0 21 Dec 2023
Model Calibration and Validation From A Statistical Inference Perspective Samson Ting Thomas Lymburn T. Stemler Yuchao Sun Michael Small 23 0 0 14 Sep 2023
Quantile Importance Sampling J. Datta Nicholas G. Polson 32 2 0 04 May 2023
Log-density gradient covariance and automatic metric tensors for Riemann manifold Monte Carlo methods T. S. Kleppe 23 3 0 03 Nov 2022
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 58 231 0 11 Jul 2016
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,266 0 09 Jun 2012