Hierarchical Sparse Bayesian Multitask Learning for Disease Prediction in Pooled Microbiome Studies

This paper proposes a hierarchical Bayesian multitask learning model that is applicable to the general multi-task binary classification learning problem where the model assumes a shared sparsity structure across different tasks. We derive a computationally efficient inference algorithm based on vari