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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.ME2021
Sparse PCA: A New Scalable Estimator Based On Integer Programming
Kayhan Behdin, Rahul Mazumder
We consider the Sparse Principal Component Analysis (SPCA) problem under the well-known spiked covariance model. Recent work has shown that the SPCA problem can be reformulated as…