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08/07/2023
Nonparametric Bayes multiresolution testing for high-dimensional rare events
In a variety of application areas, there is interest in assessing eviden...
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05/04/2023
Quantile Importance Sampling
In Bayesian inference, the approximation of integrals of the form ψ = 𝔼_...
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03/13/2023
Maximum a Posteriori Estimation in Graphical Models Using Local Linear Approximation
Sparse structure learning in high-dimensional Gaussian graphical models ...
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12/11/2022
Quantifying the Effect of Socio-Economic Predictors and Built Environment on Mental Health Events in Little Rock, AR
Proper allocation of law enforcement resources remains a critical issue ...
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05/02/2022
Graphical Evidence
Marginal likelihood, also known as model evidence, is a fundamental quan...
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04/29/2022
Inverse Probability Weighting: the Missing Link between Survey Sampling and Evidence Estimation
We consider the class of inverse probability weight (IPW) estimators, in...
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10/22/2021
Merging Two Cultures: Deep and Statistical Learning
Merging the two cultures of deep and statistical learning provides insig...
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04/21/2021
Precision Matrix Estimation under the Horseshoe-like Prior-Penalty Dual
The problem of precision matrix estimation in a multivariate Gaussian mo...
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02/25/2021
On Posterior consistency of Bayesian Changepoint models
While there have been a lot of recent developments in the context of Bay...
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02/21/2021
Group Inverse-Gamma Gamma Shrinkage for Sparse Regression with Block-Correlated Predictors
Heavy-tailed continuous shrinkage priors, such as the horseshoe prior, a...
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10/07/2020
FairMixRep : Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints
Representation Learning in a heterogeneous space with mixed variables of...
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04/24/2019
Horseshoe Regularization for Machine Learning in Complex and Deep Models
Since the advent of the horseshoe priors for regularization, global-loca...
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03/15/2019
Joint Mean-Covariance Estimation via the Horseshoe with an Application in Genomic Data Analysis
Seemingly unrelated regression is a natural framework for regressing mul...
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02/23/2017
