Minh-Ngoc Tran

2 accepted papers

2023

Quantum Variational Bayes on Manifolds

ICASSP 2023accepted

Variational Bayes (VB) has become a widely-used tool for Bayesian inference in statistics and machine learning. VB algorithms are generally restricted to the case where the variational parameter space is Euclidean. Recently, the VB framework has been extended to the case where the variational parame…

Cited by 0 Source ↗Scholar ↗

2020

Spectral Subsampling MCMC for Stationary Time Series

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

ICML 2020poster

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 relatively simple settings where the data have specific forms of independence. We propose a novel technique for speeding up MCMC…

Cited by 21 Source ↗PDF ↗Scholar ↗