Gideon Mann

Sc. B. Brown University 1999, Ph. D. Johns Hopkins 2006, UMass Amherst post-doc 2005-2007. Research Interests: Machine learning (large scale distributed training and semi-supervised learning), and natural language processing (information extraction).

Google Publications

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    Restricted Transfer learning for Text Categorization

    Rajhans Samdani, Gideon Mann

    NIPS Workshop (2013) (to appear)

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    Diagnosing Latency in Multi-Tier Black-Box Services

    Krzysztof Ostrowski, Gideon Mann, Mark Sandler

    5th Workshop on Large Scale Distributed Systems and Middleware (LADIS 2011) (to appear)

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    Modeling the Parallel Execution of Black-Box Services

    Gideon Mann, Mark Sandler, Darja Krushevskaja, Sudipto Guha, Eyal Even-Dar

    HotCloud, Usenix (2011)

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    Distributed Training Strategies for the Structured Perceptron

    Ryan McDonald, Keith Hall, Gideon Mann

    North American Chapter of the Association for Computational Linguistics (NAACL) (2010)

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    Generalized Expectation Criteria for Semi-supervised Learning with Weakly Labeled Data

    Gideon Mann, Andrew McCallum

    JMLR, vol. 11 (2010)

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    MapReduce/Bigtable for Distributed Optimization

    Keith B. Hall, Scott Gilpin, Gideon Mann

    Neural Information Processing Systems Workshop on Leaning on Cores, Clusters, and Clouds (2010)

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    Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models

    Gideon Mann, Ryan McDonald, Mehryar Mohri, Nathan Silberman, Daniel Walker IV

    Neural Information Processing Systems (NIPS) (2009)

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    Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria

    Gregory Druck, Gideon S. Mann, Andrew McCallum

    IJCNLP-ACL (2009)

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    YouTube Scale, Large Vocabulary Video Annotation

    Nick Morsillo, Chris Pal, Gideon Mann

    Video Search and Mining (2009)

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    Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields

    Gideon Mann, Andrew McCallum

    ACL (2008)

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    Learning From Labeled Features Using Generalized Expectation Criteria

    Gregory Druck, Gideon Mann, Andrew McCallum

    Proc. 31st International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, Singapore (2008), pp. 595-602

Previous Publications

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    Leveraging Existing Resources using Generalized Expectation Criteria

    Gregory Druck, Gideon Mann, Andrew McCallum

    NIPS Workshop on Learning Problem Design (2007)

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    Penn/UMass/CHOP Biocreative II systems

    Kuzman Ganchev, Koby Crammer, Fernando Pereira, Gideon Mann, Kedar Bellare, Andrew McCallum, Steven Carroll, Yang Jin, Peter White

    Proceedings of the Second BioCreative Challenge Evaluation Workshop (2007), pp. 119-124