On some variance reduction properties of the reparameterization trick. - Ming Xu 015; Matias Quiroz; Robert Kohn; Scott A. Sisson (CoRR, 2018)

Variance reduction properties of the reparameterization trick. - Ming Xu 015; Matias Quiroz; Robert Kohn; Scott A. Sisson (AISTATS, 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)

Spectral Subsampling MCMC for Stationary Time Series. - Robert Salomone; Matias Quiroz; Robert Kohn; Mattias Villani; Minh-Ngoc Tran (ICML, 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)

Subsampling sequential Monte Carlo for static Bayesian models. - David Gunawan; Khue-Dung Dang; Matias Quiroz; Robert Kohn; Minh-Ngoc Tran (Stat. Comput., 2020)

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)

A Scalable Gradient-Based Optimization Framework for Sparse Minimum-Variance Portfolio Selection. - Sarat Babu Moka; Matias Quiroz; Vali Asimit; Samuel Müller 001 (CoRR, 2025)