Matias Quiroz

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 7

Top Topics

Variance Reduction

Unbiased Estimator

Top Venues

J. Comput. Graph. Stat.

J. Mach. Learn. Res.

Publications

Matias Quiroz, Minh-Ngoc Tran, Mattias Villani, Robert Kohn, Khue-Dung Dang
The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC. J. Comput. Graph. Stat. 30 (4) (2021)
Robert Salomone, Matias Quiroz, Robert Kohn, Mattias Villani, Minh-Ngoc Tran
Spectral Subsampling MCMC for Stationary Time Series. ICML (2020)
Matthew P. Adams, Edwin J. Y. Koh, Maria P. Vilas, Catherine J. Collier, Victoria M. Lambert, Scott A. Sisson, Matias Quiroz, Eve McDonald-Madden, Len J. McKenzie, Katherine R. O'Brien
Predicting seagrass decline due to cumulative stressors. Environ. Model. Softw. 130 (2020)
David Gunawan, Khue-Dung Dang, Matias Quiroz, Robert Kohn, Minh-Ngoc Tran
Subsampling sequential Monte Carlo for static Bayesian models. Stat. Comput. 30 (6) (2020)
Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson
Variance reduction properties of the reparameterization trick. AISTATS (2019)
Khue-Dung Dang, Matias Quiroz, Robert Kohn, Minh-Ngoc Tran, Mattias Villani
Hamiltonian Monte Carlo with Energy Conserving Subsampling. J. Mach. Learn. Res. 20 (2019)
Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson
On some variance reduction properties of the reparameterization trick. CoRR (2018)