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arXiv · 1008.5211

Union Support Recovery in Multi-task Learning

Mladen Kolar·John Lafferty·Larry Wasserman
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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.

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Mladen Kolar, John Lafferty, Larry Wasserman. 2010-08-31. Union Support Recovery in Multi-task Learning. https://arxiv.org/abs/1008.5211

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