AK

Abhimanu Kumar

Groupon Inc, GageIn Inc, Carnegie Mellon University, University of Texas at Austin, Indian Institute of Technology Guwahati

ORCID iD 0000-0003-4529-7883
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Employment

  • Groupon Inc Senior Data Scientist
    2015 - Present
  • GageIn Inc Head of Machine Learning
    2014 - 2015
  • Carnegie Mellon University Graduate Research Assistant
    2012 - 2014
  • Adchemy Inc Research Intern
    2011 - 2011
  • University of Texas at Austin Graduate Research Assistant
    2010 - 2012
  • Oracle India Private Limited Senior Member Technical Staff
    2007 - 2010

Education

  • Carnegie Mellon University Research Masters in Machine Learning and Natural Language Processing
    2012 - 2014
  • University of Texas at Austin Master of Science
    2010 - 2012
  • Indian Institute of Technology Guwahati Bachelor of Technology
    2003 - 2007

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

  • Distributed Machine Learning via Sufficient Factor Broadcasting
    CoRR 2015
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  • Distributed Training of Deep Neural Networks with Theoretical Analysis: Under SSP Setting
    Work In Porgress 2015
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  • High-Performance Distributed ML at Scale through Parameter Server Consistency Models
    Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA. 2015
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  • Petuum: A New Platform for Distributed Machine Learning on Big Data
    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 2015 DOI: 10.1145/2783258.2783323
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  • Petuum: A New Platform for Distributed Machine Learning on Big Data
    Big Data, IEEE Transactions on 2015 DOI: 10.1109/TBDATA.2015.2472014
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  • Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums
    CoRR 2015
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  • Analysis of a bounded asynchronous model for parallel iterative machine learning computing
    Communications of the ACM 2015
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  • Towards an integration of text and graph clustering methods as a lens for studying social interaction in MOOCs
    The International Review of Research in Open and Distributed Learning 2014
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  • Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data
    Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, AISTATS 2014, Reykjavik, Iceland, April 22-25, 2014 2014
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  • FlexiFaCT: Scalable Flexible Factorization of Coupled Tensors on Hadoop
    Proceedings of the 2014 SIAM International Conference on Data Mining, Philadelphia, Pennsylvania, USA, April 24-26, 2014 2014 DOI: 10.1137/1.9781611973440.13
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