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06/05/2023
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models
Latent Gaussian models have a rich history in statistics and machine lea...
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08/14/2021
A fast asynchronous MCMC sampler for sparse Bayesian inference
We propose a very fast approximate Markov Chain Monte Carlo (MCMC) sampl...
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10/16/2020
Minimax Quasi-Bayesian estimation in sparse canonical correlation analysis via a Rayleigh quotient function
Canonical correlation analysis (CCA) is a popular statistical technique ...
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07/02/2019
Bayesian Analysis of High-dimensional Discrete Graphical Models
This work introduces a Bayesian methodology for fitting large discrete g...
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01/10/2019
Bayesian variable selection in linear regression models with instrumental variables
Many papers on high-dimensional statistics have proposed methods for var...
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06/20/2018
Sequential change-point detection in high-dimensional Gaussian graphical models
High dimensional piecewise stationary graphical models represent a versa...
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03/27/2018
Regularization and Computation with high-dimensional spike-and-slab posterior distributions
We consider the Bayesian analysis of a high-dimensional statistical mode...
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02/24/2018
Automatic adaptation of MCMC algorithms
Markov chain Monte Carlo (MCMC) methods are ubiquitous tools for simulat...
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06/17/2013