Matias Quiroz

According to our database, Matias Quiroz authored at least 9 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Analysing symbolic data by pseudo-marginal methods.

Yu Yang, Matias Quiroz, Boris Beranger, Robert Kohn, Scott A. Sisson

Stat. Comput., June, 2026

2025

A Scalable Gradient-Based Optimization Framework for Sparse Minimum-Variance Portfolio Selection.

Sarat Babu Moka, Matias Quiroz, Vali Asimit, Samuel Müller

CoRR, May, 2025

2021

The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC.

Matias Quiroz, Minh-Ngoc Tran, Mattias Villani, Robert Kohn, Khue-Dung Dang

J. Comput. Graph. Stat., 2021

2020

Subsampling sequential Monte Carlo for static Bayesian models.

David Gunawan, Khue-Dung Dang, Matias Quiroz, Robert Kohn, Minh-Ngoc Tran

Stat. Comput., 2020

Predicting seagrass decline due to cumulative stressors.

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

Environ. Model. Softw., 2020

Spectral Subsampling MCMC for Stationary Time Series.

Robert Salomone, Matias Quiroz, Robert Kohn, Mattias Villani, Minh-Ngoc Tran

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Hamiltonian Monte Carlo with Energy Conserving Subsampling.

Khue-Dung Dang, Matias Quiroz, Robert Kohn, Minh-Ngoc Tran, Mattias Villani

J. Mach. Learn. Res., 2019

Variance reduction properties of the reparameterization trick.

Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

On some variance reduction properties of the reparameterization trick.

Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson

CoRR, 2018