Accelerating MCMC Algorithms

8 April 2018

Papers citing "Accelerating MCMC Algorithms"

39 / 39 papers shown

Title
Uncertainty-Aware Surrogate-based Amortized Bayesian Inference for Computationally Expensive Models Stefania Scheurer Philipp Reiser Tim Brünnette Wolfgang Nowak A. Guthke Paul-Christian Burkner 36 0 0 13 May 2025
Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers Andrew Millard Joshua Murphy Daniel Frisch Simon Maskell BDL 43 0 0 03 Apr 2025
Accelerating Multilevel Markov Chain Monte Carlo Using Machine Learning Models Sohail Reddy Hillary R. Fairbanks 24 1 0 18 May 2024
Graph-accelerated Markov Chain Monte Carlo using Approximate Samples Leo L. Duan Anirban Bhattacharya 8 1 0 25 Jan 2024
Bayesian Decision Trees Inspired from Evolutionary Algorithms Efthyvoulos Drousiotis Alexander M. Phillips P. Spirakis Simon Maskell BDL 11 0 0 30 May 2023
Bayesian inference and neural estimation of acoustic wave propagation Yongchao Huang Yuhang He Hong Ge 29 0 0 28 May 2023
Approximate Gibbs Sampler for Efficient Inference of Hierarchical Bayesian Models for Grouped Count Data Jin-Zhu Yu H. Baroud 9 0 0 28 Nov 2022
Jensen-Shannon Divergence Based Novel Loss Functions for Bayesian Neural Networks Ponkrshnan Thiagarajan Susanta Ghosh BDL 25 8 0 23 Sep 2022
A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially-Varying Generalised Gaussian Models Émilie Chouzenoux M. Corbineau J. Pesquet G. Scrivanti 6 1 0 03 Sep 2022
Computing Bayes: From Then 'Til Now' G. Martin David T. Frazier Christian P. Robert 22 15 0 01 Aug 2022
A Tutorial on the Spectral Theory of Markov Chains E. Seabrook Laurenz Wiskott 14 16 0 05 Jul 2022
Hybrid Machine Learning Modeling of Engineering Systems -- A Probabilistic Perspective Tested on a Multiphase Flow Modeling Case Study Timur Bikmukhametov J. Jäschke AI4CE 14 0 0 18 May 2022
Markov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten Q. Nguyen Ryutaro Oikawa D. Divakaran M. Chan K. H. Low MU 17 37 0 28 Feb 2022
Parallel MCMC Without Embarrassing Failures Daniel Augusto R. M. A. de Souza Diego Mesquita Samuel Kaski Luigi Acerbi 36 11 0 22 Feb 2022
Approximating Bayes in the 21st Century G. Martin David T. Frazier Christian P. Robert 32 26 0 20 Dec 2021
Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion Han Lu Mohammad Khalil T. Catanach Jiefu Chen Xuqing Wu Xin Fu C. Safta Yueqin Huang 17 0 0 03 Dec 2021
A Survey of Monte Carlo Methods for Parameter Estimation D. Luengo Luca Martino M. Bugallo Victor Elvira S. Särkkä 14 153 0 25 Jul 2021
Choice of Damping Coefficient in Langevin Dynamics R. Skeel C. Hartmann 6 5 0 22 Jun 2021
Divide-and-Conquer Bayesian Inference in Hidden Markov Models Chunlei Wang Sanvesh Srivastava 27 9 0 30 May 2021
Fast ABC with joint generative modelling and subset simulation Eliane Maalouf D. Ginsbourger N. Linde 24 0 0 16 Apr 2021
Sampling and statistical physics via symmetry Steve Huntsman 13 2 0 01 Apr 2021
Parallel tempering as a mechanism for facilitating inference in hierarchical hidden Markov models Giada Sacchi B. Swallow 9 0 0 19 Nov 2020
MCMC-Interactive Variational Inference Quan Zhang Huangjie Zheng Mingyuan Zhou 14 1 0 02 Oct 2020
Parallelizing MCMC Sampling via Space Partitioning V. Hafych P. Eller O. Schulz Allen Caldwel 29 4 0 07 Aug 2020
Computing Bayes: Bayesian Computation from 1763 to the 21st Century G. Martin David T. Frazier Christian P. Robert 40 17 0 14 Apr 2020
Bayesian nonparametric estimation in the current status continuous mark model G. Jongbloed Frank van der Meulen L. Pang 20 1 0 23 Nov 2019
Challenges in Markov chain Monte Carlo for Bayesian neural networks Theodore Papamarkou Jacob D. Hinkle M. T. Young D. Womble BDL 31 50 0 15 Oct 2019
Nearly Consistent Finite Particle Estimates in Streaming Importance Sampling Alec Koppel Amrit Singh Bedi Brian M. Sadler Victor Elvira 21 2 0 23 Sep 2019
Analyzing MCMC Output Dootika Vats Nathan Robertson James M. Flegal Galin L. Jones 13 1 0 26 Jul 2019
Transport Monte Carlo: High-Accuracy Posterior Approximation via Random Transport L. Duan OT 29 11 0 24 Jul 2019
A Metropolis-class sampler for targets with non-convex support John Moriarty Jure Vogrinc Alessandro Zocca 11 5 0 23 May 2019
Gaussbock: Fast parallel-iterative cosmological parameter estimation with Bayesian nonparametrics Ben Moews J. Zuntz 14 2 0 23 May 2019
Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images -- Extended Version M. Corbineau Denis Kouamé Émilie Chouzenoux J. Tourneret J. Pesquet 14 15 0 19 Mar 2019
Embarrassingly parallel MCMC using deep invertible transformations Diego Mesquita P. Blomstedt Samuel Kaski 9 18 0 11 Mar 2019
Fast Markov Chain Monte Carlo Algorithms via Lie Groups Steve Huntsman 16 2 0 24 Jan 2019
Surrogate-assisted parallel tempering for Bayesian neural learning Rohitash Chandra Konark Jain Arpit Kapoor Ashray Aman BDL 9 8 0 21 Nov 2018
Automated Scalable Bayesian Inference via Hilbert Coresets Trevor Campbell Tamara Broderick 19 127 0 13 Oct 2017
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 3,262 0 09 Jun 2012