Selective Inference for Sparse Multitask Regression with Applications in Neuroimaging

no code implementations • 27 May 2022 • Snigdha Panigrahi, Natasha Stewart, Chandra Sekhar Sripada, Elizaveta Levina

Multi-task learning is frequently used to model a set of related response variables from the same set of features, improving predictive performance and modeling accuracy relative to methods that handle each response variable separately.

Multi-Task Learning regression +1