Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals

25 October 2021

Papers citing "Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals"

7 / 7 papers shown

Title
Empirical evaluation of normalizing flows in Markov Chain Monte Carlo David Nabergoj Erik Štrumbelj BDL TPM 40 0 0 22 Dec 2024
Stable Training of Normalizing Flows for High-dimensional Variational Inference Daniel Andrade BDL TPM 43 1 0 26 Feb 2024
AdvNF: Reducing Mode Collapse in Conditional Normalising Flows using Adversarial Learning V. Kanaujia Mathias S. Scheurer Vipul Arora GAN DRL 22 2 0 29 Jan 2024
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 45 4 0 21 Apr 2023
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients Kyurae Kim Jisu Oh J. Gardner Adji Bousso Dieng Hongseok Kim BDL 26 8 0 13 Jun 2022
Robust Hybrid Learning With Expert Augmentation Antoine Wehenkel Jens Behrmann Hsiang Hsu Guillermo Sapiro Gilles Louppe and J. Jacobsen 26 8 0 08 Feb 2022
Markovian Score Climbing: Variational Inference with KL(p\|\|q) C. A. Naesseth Fredrik Lindsten David M. Blei 118 54 0 23 Mar 2020