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arxiv: 1008.5211 · v1 · pith:IBWWADKTnew · submitted 2010-08-31 · 📊 stat.ML

Union Support Recovery in Multi-task Learning

classification 📊 stat.ML
keywords modelmulti-taskproblemstudyinganalysischaracterizeclearercomplex
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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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