Union Support Recovery in Multi-task Learning

Authors:
Mladen Kolar;John Lafferty;Larry Wasserman
Affiliations:
-;-;-
Venue:
The Journal of Machine Learning Research
Year:
2011

Citing 5
Cited 1

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Multi-stage multi-task feature learning

The Journal of Machine Learning Research

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Abstract

We sharply characterize the performance of different penalization schemes for the problem of selecting the relevant variables in the multi-task setting. Previous work focuses on the regression problem where conditions on the design matrix complicate the analysis. A clearer and simpler picture emerges by studying the Normal means model. This model, often used in the field of statistics, is a simplified model that provides a laboratory for studying complex procedures.