Matias Quiroz
Matias Quiroz
Verified email at uts.edu.au - Homepage
Title
Cited by
Cited by
Year
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
1052019
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
312018
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
252018
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
192019
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
142018
Gaussian variational approximation for high-dimensional state space models
M Quiroz, DJ Nott, R Kohn
arXiv preprint arXiv:1801.07873, 2018
112018
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
52013
Bayesian Inference in Large Data Problems
M Quiroz
Department of Statistics, Stockholm University, 2015
12015
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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Articles 1–13