2 papers
stat.ME2022
Multi-Task Learning for Sparsity Pattern Heterogeneity: Statistical and Computational Perspectives
Kayhan Behdin, Gabriel Loewinger, Kenneth T. Kishida +2
We consider a problem in Multi-Task Learning (MTL) where multiple linear models are jointly trained on a collection of datasets ("tasks"). A key novelty of our framework is that it…
stat.ML2021
Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality Estimation
Gabriel Loewinger, Rolando Acosta Nunez, Rahul Mazumder +1
It is increasingly common to encounter prediction tasks in the biomedical sciences for which multiple datasets are available for model training. Common approaches such as pooling d…