D. Sculley

D. Sculley

Co-Authors

I'm currently interested in machine learning problems in classification and ranking for the purpose of information filtering. Some of these topics include learning in the presences of noisy or adversarial labels, learning at scale over high dimensional data, and learning small human-interpretable models.

For more details, see my home page.

Google Publications

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    Large-Scale Learning with Less RAM via Randomization

    Daniel Golovin, D. Sculley, H. Brendan McMahan, Michael Young

    Proceedings of the 30 International Conference on Machine Learning (ICML) (2013), pp. 10

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    Detecting Adversarial Advertisements in the Wild

    D. Sculley, Matthew Eric Otey, Michael Pohl, Bridget Spitznagel, John Hainsworth, Yunkai Zhou

    Proceedings of the 17th ACM SIGKDD International Conference on Data Mining and Knowledge Discovery, KDD (2011)

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    Going Mini: Extreme Lightweight Spam Filters

    D. Sculley, Gordon V. Cormack

    CEAS 2009: Proceedings of the Sixth Conference on Email and Anti-Spam

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    Large Scale Learning to Rank

    D. Sculley

    NIPS 2009 Workshop on Advances in Ranking

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    Predicting Bounce Rates in Sponsored Search Advertisements

    D. Sculley, Robert Malkin, Sugato Basu, Roberto J. Bayardo

    Proc. of the 15th International ACM-SIGKDD Conference on Knowledge Discovery and Data Mining, ACM (2009), pp. 1325-1334