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Parallel Computing
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.
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