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M. Quiroz

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME2
  • stat.CO1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

most citedSpectral Subsampling MCMC for Stationary Time Series

6 citations · 6 across the 1 of their papers we have counts for

collaborators

4 papers

stat.ME2019★ 6 cited

Spectral Subsampling MCMC for Stationary Time Series

Robert Salomone, Matias Quiroz, Robert Kohn +2

Bayesian inference using Markov Chain Monte Carlo (MCMC) on large datasets has developed rapidly in recent years. However, the underlying methods are generally limited to relativel…

stat.ML2018

Variance reduction properties of the reparameterization trick

Ming Xu, Matias Quiroz, Robert Kohn +1

The reparameterization trick is widely used in variational inference as it yields more accurate estimates of the gradient of the variational objective than alternative approaches s…

stat.ME2018

Subsampling MCMC - An introduction for the survey statistician

Matias Quiroz, Mattias Villani, Robert Kohn +2

The rapid development of computing power and efficient Markov Chain Monte Carlo (MCMC) simulation algorithms have revolutionized Bayesian statistics, making it a highly practical i…

stat.CO2018

Subsampling Sequential Monte Carlo for Static Bayesian Models

David Gunawan, Khue-Dung Dang, Matias Quiroz +2

We show how to speed up Sequential Monte Carlo (SMC) for Bayesian inference in large data problems by data subsampling. SMC sequentially updates a cloud of particles through a sequ…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.