A new Gaussian graphical model that produces subject-specific and predictive graphs with theoretical guarantee.
Graphical Dirichlet process.
Bayesian Decision Framework for Optimizing Sequential cART
Bayesian multi-way clustering.
Bayesian integrative matrix factorization.
HIV Longitudinal Drug Effects on Mental Health
Deep Nonparametric Bayes Clustering
HIV Drug Combination Effects on Mental Health
Bayesian biclustering via multinomial matrix factorization.
Consensus variational inference.
Consensus Monte Carlo algorithm for DP and IBP
A categorical matrix factorization method to infer latent diseases from EHR data.
A scalable Monte Carlo algorithm for inference under a large class of nonparametric Bayesian models for clustering and classification.
We develop a parallel-tempered feature allocation algorithm to infer tumor heterogeneity from deep DNA sequencing data. The feature allocation model is based on a binomial likelihood and an Indian Buffet process prior on the latent haplotypes. A …
A hierarchical reciprocal graphical models to infer gene networks from heterogeneous data with or without known groups.