Bayesian Multitask Learning with Latent Hierarchies

Hal Daum\'e III

Bayesian Multitask Learning with Latent Hierarchies

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arxiv 0907.0783 v1 pith:3HIL2DFV submitted 2009-07-04 cs.LG

Hal Daumé III This is my paper · ORCID

classification cs.LG

keywords learningmultitaskhierarchicallatentsharestructuretaskswish

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We learn multiple hypotheses for related tasks under a latent hierarchical relationship between tasks. We exploit the intuition that for domain adaptation, we wish to share classifier structure, but for multitask learning, we wish to share covariance structure. Our hierarchical model is seen to subsume several previously proposed multitask learning models and performs well on three distinct real-world data sets.

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