tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware

4 February 2020

Rif A. Saurous

Matthew D. Hoffman

Joshua V. Dillon

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Papers citing "tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware"

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Title
Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers Andrew Millard Joshua Murphy Daniel Frisch Simon Maskell BDL 43 0 0 03 Apr 2025
Efficiently Vectorized MCMC on Modern Accelerators Hugh Dance Pierre Glaser Peter Orbanz Ryan P. Adams 52 0 0 20 Mar 2025
Running Markov Chain Monte Carlo on Modern Hardware and Software Pavel Sountsov Colin Carroll Matthew D. Hoffman BDL 39 2 0 06 Nov 2024
Amortized Bayesian Multilevel Models Daniel Habermann Marvin Schmitt Lars Kühmichel Andreas Bulling Stefan T. Radev Paul-Christian Burkner 67 3 0 23 Aug 2024
Learning to Explore for Stochastic Gradient MCMC Seunghyun Kim Seohyeon Jung Seonghyeon Kim Juho Lee BDL 48 1 0 17 Aug 2024
A non-asymptotic error analysis for parallel Monte Carlo estimation from many short Markov chains Austin Brown 17 0 0 31 Jan 2024
For how many iterations should we run Markov chain Monte Carlo? C. Margossian Andrew Gelman 19 6 0 05 Nov 2023
Adaptive Tuning for Metropolis Adjusted Langevin Trajectories L. Riou-Durand Pavel Sountsov Jure Vogrinc C. Margossian Samuel Power 32 6 0 21 Oct 2022
Liesel: A Probabilistic Programming Framework for Developing Semi-Parametric Regression Models and Custom Bayesian Inference Algorithms Hannes Riebl P. Wiemann Thomas Kneib 8 2 0 22 Sep 2022
NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators Zongren Zou Xuhui Meng Apostolos F. Psaros George Karniadakis AI4CE 25 36 0 25 Aug 2022
Mesh-free Eulerian Physics-Informed Neural Networks F. A. Torres M. Negri Monika Nagy-Huber M. Samarin Volker Roth PINN AI4CE 13 5 0 03 Jun 2022
A quantum parallel Markov chain Monte Carlo Andrew J Holbrook 11 7 0 01 Dec 2021
Entropy-based adaptive Hamiltonian Monte Carlo Marcel Hirt Michalis K. Titsias P. Dellaportas BDL 37 7 0 27 Oct 2021
Learning Functional Priors and Posteriors from Data and Physics Xuhui Meng Liu Yang Zhiping Mao J. Ferrandis George Karniadakis AI4CE 27 61 0 08 Jun 2021
What Are Bayesian Neural Network Posteriors Really Like? Pavel Izmailov Sharad Vikram Matthew D. Hoffman A. Wilson UQCV BDL 17 366 0 29 Apr 2021
Hamiltonian Monte Carlo in Inverse Problems; Ill-Conditioning and Multi-Modality I. Langmore M. Dikovsky S. Geraedts Peter C. Norgaard R. V. Behren 22 7 0 12 Mar 2021
VIB is Half Bayes Alexander A. Alemi Warren Morningstar Ben Poole Ian S. Fischer Joshua V. Dillon BDL 11 2 0 17 Nov 2020
Wavelet Flow: Fast Training of High Resolution Normalizing Flows Jason J. Yu Konstantinos G. Derpanis Marcus A. Brubaker TPM 24 41 0 26 Oct 2020
FunMC: A functional API for building Markov Chains Pavel Sountsov Alexey Radul Srinivas Vasudevan 19 1 0 14 Jan 2020
A Condition Number for Hamiltonian Monte Carlo I. Langmore M. Dikovsky S. Geraedts Peter C. Norgaard R. V. Behren 18 6 0 23 May 2019
MCMC using Hamiltonian dynamics Radford M. Neal 185 3,266 0 09 Jun 2012