research
∙
09/12/2023
Generalized Regret Analysis of Thompson Sampling using Fractional Posteriors
Thompson sampling (TS) is one of the most popular and earliest algorithm...
share
research
∙
08/15/2023
Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data
In a traditional Gaussian graphical model, data homogeneity is routinely...
research
∙
05/14/2023
Bayesian Flexible Modelling of Spatially Resolved Transcriptomic Data
Single-cell RNA-sequencing technologies may provide valuable insights to...
research
∙
05/13/2023
An Active Learning-based Approach for Hosting Capacity Analysis in Distribution Systems
With the increasing amount of distributed energy resources (DERs) integr...
research
∙
04/19/2023
Blocked Gibbs sampler for hierarchical Dirichlet processes
Posterior computation in hierarchical Dirichlet process (HDP) mixture mo...
research
∙
03/15/2023
An Approximate Bayesian Approach to Covariate-dependent Graphical Modeling
Gaussian graphical models typically assume a homogeneous structure acros...
research
∙
02/17/2023
Graphical Dirichlet Process
We consider the problem of clustering grouped data with possibly non-exc...
research
∙
01/09/2023
Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction
Despite impressive performance on a wide variety of tasks, deep neural n...
research
∙
09/30/2022
Factorized Fusion Shrinkage for Dynamic Relational Data
Modern data science applications often involve complex relational data w...
research
∙
09/29/2022
Structured Optimal Variational Inference for Dynamic Latent Space Models
We consider a latent space model for dynamic networks, where our objecti...
research
∙
07/07/2022
A Bayesian Survival Tree Partition Model Using Latent Gaussian Processes
Survival models are used to analyze time-to-event data in a variety of d...
research
∙
02/08/2022
Adaptive Bayesian Variable Clustering via Structural Learning of Breast Cancer Data
Clustering of proteins is of interest in cancer cell biology. This artic...
research
∙
12/06/2021
Bayesian Structural Equation Modeling in Multiple Omics Data Integration with Application to Circadian Genes
It is well known that the integration among different data-sources is re...
research
∙
10/27/2020
Bayesian Variable Selection in Multivariate Nonlinear Regression with Graph Structures
Gaussian graphical models (GGMs) are well-established tools for probabil...
research
∙
07/04/2020
Continuous shrinkage prior revisited: a collapsing behavior and remedy
Modern genomic studies are increasingly focused on identifying more and ...
research
∙
05/02/2020
Estimation of COVID-19 spread curves integrating global data and borrowing information
Currently, novel coronavirus disease 2019 (COVID-19) is a big threat to ...
research
∙
03/17/2020
Directionally Dependent Multi-View Clustering Using Copula Model
In recent biomedical scientific problems, it is a fundamental issue to i...
research
∙
12/11/2019
