Wilson Ye Chen

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Chris. J. OatesNewcastle UniversityVerified email at ncl.ac.uk
Lester MackeyMicrosoft ResearchVerified email at microsoft.com
François-Xavier BriolAssociate Professor in Statistical Science, UCLVerified email at ucl.ac.uk
Jackson GorhamData ScientistVerified email at whisper.ai
Richard GerlachThe University of SydneyVerified email at sydney.edu.au
Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
Scott SissonProfessor of Statistics & Data Science, University of New South WalesVerified email at unsw.edu.au
Matt WandDistinguished Professor of Statistics, University of Technology SydneyVerified email at uts.edu.au
Jon CockayneThe Alan Turing Institute

Wilson Ye Chen

Verified email at sydney.edu.au - Homepage


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Stein points WY Chen, L Mackey, J Gorham, FX Briol, C Oates International Conference on Machine Learning, 844-853, 2018	103	2018
Stein point markov chain monte carlo WY Chen, A Barp, FX Briol, J Gorham, M Girolami, L Mackey, C Oates International Conference on Machine Learning, 1011-1021, 2019	61	2019
Optimal thinning of MCMC output M Riabiz, WY Chen, J Cockayne, P Swietach, SA Niederer, L Mackey, ... Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2022	50	2022
Estimating quantile families of loss distributions for non-life insurance modelling via L-moments GW Peters, WY Chen, RH Gerlach Risks 4 (2), 14, 2016	34	2016
Dynamic quantile function models WY Chen, GW Peters, RH Gerlach, SA Sisson Quantitative Finance 22 (9), 1665-1691, 2022	22	2022
On the sampling problem for kernel quadrature FX Briol, CJ Oates, J Cockayne, WY Chen, M Girolami International Conference on Machine Learning, 586-595, 2017	22	2017
Factor graph fragmentization of expectation propagation WY Chen, MP Wand Journal of the Korean Statistical Society 49 (3), 722-756, 2020	7	2020
Semiparametric GARCH via Bayesian model averaging WY Chen, RH Gerlach Journal of Business & Economic Statistics 39 (2), 437-452, 2021	5	2021
Stein -Importance Sampling C Wang, Y Chen, H Kanagawa, CJ Oates Advances in Neural Information Processing Systems 36, 2024		2024

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