Deterministic Sampling of Expensive Posteriors Using Minimum Energy
Designs

Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs

24 December 2017

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Papers citing "Deterministic Sampling of Expensive Posteriors Using Minimum Energy Designs"

12 / 12 papers shown

Title
Performance Analysis of Sequential Experimental Design for Calibration in Parallel Computing Environments Özge Sürer Stefan M. Wild 89 1 0 01 Dec 2024
Enhancing Sample Quality through Minimum Energy Importance Weights Chaofan Huang V. R. Joseph 51 0 0 12 Oct 2023
Sampling with Mollified Interaction Energy Descent Lingxiao Li Qiang Liu Anna Korba Mikhail Yurochkin Justin Solomon 77 17 0 24 Oct 2022
Kernel Thinning Raaz Dwivedi Lester W. Mackey 195 39 0 12 May 2021
Constrained Minimum Energy Designs Chaofan Huang V. Roshan D. Ray 19 4 0 24 Apr 2021
Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy L. Pronzato 73 15 0 19 Jan 2021
Population Quasi-Monte Carlo Chaofan Huang V. Roshan Simon Mak 69 7 0 26 Dec 2020
CLAIMED: A CLAssification-Incorporated Minimum Energy Design to explore a multivariate response surface with feasibility constraints M. Sengul Yao Song Linglin He A. V. van Duin Ying Hung Tirthankar Dasgupta 18 2 0 09 Jun 2020
Optimal Thinning of MCMC Output M. Riabiz W. Chen Jon Cockayne P. Swietach Steven Niederer Lester W. Mackey Chris J. Oates 90 47 0 08 May 2020
Stein Point Markov Chain Monte Carlo W. Chen Alessandro Barp François‐Xavier Briol Jackson Gorham Mark Girolami Lester W. Mackey Chris J. Oates 110 57 0 09 May 2019
A Riemann-Stein Kernel Method Alessandro Barp Christine J. Oates Emilio Porcu Mark Girolami 92 22 0 11 Oct 2018
Stein Points W. Chen Lester W. Mackey Jackson Gorham François‐Xavier Briol Chris J. Oates 110 102 0 27 Mar 2018