Matias Quiroz - Google Scholar Citations

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20142015201620172018201920205 9 23 19 50 97 37

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robert kohnProfessor of Economics University of New South WalesVerified email at unsw.edu.au
Mattias VillaniProfessor of Statistics, Stockholm University and Linköping UniversityVerified email at stat.su.se
Minh-Ngoc TranSenior Lecturer, University of SydneyVerified email at sydney.edu.au
Khue-Dung DangUniversity of New South WalesVerified email at student.unsw.edu.au
Scott SissonProfessor of Statistics & Data Science, University of New South WalesVerified email at unsw.edu.au
David GunawanUniversity of New South WalesVerified email at unsw.edu.au
David NottAssociate Professor of Statistics, National University of SingaporeVerified email at nus.edu.sg
Ming XuPhD Student, Queensland University of TechnologyVerified email at hdr.qut.edu.au
Robert SalomoneUNSW SydneyVerified email at unsw.edu.au
Matthew AdamsLecturer and ARC DECRA Fellow, Queensland University of TechnologyVerified email at qut.edu.au

Matias Quiroz

University of Technology Sydney

Verified email at uts.edu.au - Homepage

Bayesian computation


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Speeding up MCMC by efficient data subsampling M Quiroz, R Kohn, M Villani, MN Tran Journal of the American Statistical Association 114 (526), 831-843, 2019	105	2019
The block-Poisson estimator for optimally tuned exact subsampling MCMC M Quiroz, MN Tran, M Villani, R Kohn, KD Dang arXiv preprint arXiv:1603.08232, 2018	31	2018
The block pseudo-marginal sampler MN Tran, R Kohn, M Quiroz, M Villani arXiv preprint arXiv:1603.02485, 2016	27*	2016
Speeding up MCMC by delayed acceptance and data subsampling M Quiroz, MN Tran, M Villani, R Kohn Journal of Computational and Graphical Statistics 27 (1), 12-22, 2018	25	2018
Hamiltonian Monte Carlo with energy conserving subsampling KD Dang, M Quiroz, R Kohn, MN Tran, M Villani Journal of Machine Learning Research 20 (100), 1-31, 2019	19	2019
Variance reduction properties of the reparameterization trick M Xu, M Quiroz, R Kohn, SA Sisson International Conference on Artificial Intelligence and Statistics (AISTATS …, 2019	14*	2019
Subsampling sequential Monte Carlo for static Bayesian models D Gunawan, KD Dang, M Quiroz, R Kohn, MN Tran arXiv preprint arXiv:1805.03317, 2018	14	2018
Gaussian variational approximation for high-dimensional state space models M Quiroz, DJ Nott, R Kohn arXiv preprint arXiv:1801.07873, 2018	11	2018
Subsampling MCMC-An introduction for the survey statistician M Quiroz, M Villani, R Kohn, MN Tran, KD Dang Sankhya A 80 (1), 33-69, 2018	5*	2018
Dynamic mixture-of-experts models for longitudinal and discrete-time survival data M Quiroz, M Villani Riksbank Research Paper Series, 2013	5	2013
Bayesian Inference in Large Data Problems M Quiroz Department of Statistics, Stockholm University, 2015	1	2015
Predicting seagrass decline due to cumulative stressors MP Adams, EJY Koh, MP Vilas, CJ Collier, VM Lambert, SA Sisson, ... Environmental Modelling & Software, 104717, 2020		2020
Spectral Subsampling MCMC for Stationary Time Series R Salomone, M Quiroz, R Kohn, M Villani, MN Tran International Conference on Machine Learning Research, 2020		2020

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