Scalable hierarchical multitask learning algorithms for conversion optimization in display advertising

    WSDM, 2014.

    Cited by: 29|Bibtex|40|
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    Keywords:
    beingefficiently scalablescalable algorithmscalable hierarchical multitaskjoint sparse settingbillion observationMore(7+)

    Abstract:

    Many estimation tasks come in groups and hierarchies of related problems. In this paper we propose a hierarchical model and a scalable algorithm to perform inference for multitask learning. It infers task correlation and subtask structure in a joint sparse setting. Implementation is achieved by a distributed subgradient oracle and the suc...More
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