Big Data

Federated Learning for Sparse Bayesian Models with Applications to Electronic Health Records and Genomics

Bayesian federated learning.

Consensus Variational and Monte Carlo Algorithms for Bayesian Nonparametric Clustering

Consensus variational inference.

Consensus Monte Carlo for Random Subsets using Shared Anchors

Consensus Monte Carlo algorithm for DP and IBP

Scalable Bayesian Nonparametric Clustering and Classification

A scalable Monte Carlo algorithm for inference under a large class of nonparametric Bayesian models for clustering and classification.

Parallel-Tempered Feature Allocation for Large-Scale Tumor Heterogeneity with Deep Sequencing Data

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 …