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Eric P. Xing,  PhD, PhD

8101 Gates-Hillman Center (GHC), SCS
Carnegie Mellon University
Pittsburgh, PA 15213

Phone: (412) 268-2559
Fax: (412) 268-3431
Email: epxing AT cs.cmu.edu


Picture of Wean Hall



Biography Publications Research Teaching Actitivities/Talks My Group CV
 

Associate Professor

Machine Learning Department & Language Technology Institute & Computer Science Department
School of Computer Science
Carnegie Mellon University


Research synopsis: My principal research interests lie in the development of machine learning and statistical methodology, and large-scale computational system and infrastructure, for solving problems involving automated learning, reasoning, and decision-making in high-dimensional, multimodal, and dynamic possible worlds in social and biological systems.

Current Students and Postdocs:


Past Students and Postdocs:

  • Amr Ahmed, Research Scientist, Google
  • Ross Curtis, Software Engineer, AncestryDNA
  • Jacob Eisenstein, Assistant Professor, Georgia Institute of Technology
  • Weijie Fu, Software Engineer, Facebook
  • Anuj Goyal, Software Engineer, LinkedIn
  • Steve Hanneke, Visiting Assistant Professor, Carnegie Mellon University
  • Kamisetty Hetunandan, Postdoctoral Fellow, University of Washington
  • Gunhee Kim, Postdoctoral Fellow, Disney Lab
  • Judie Howrylak, Assistant Professor, Penn State University
  • Seyoung Kim, Assistant Professor, Carnegie Mellon University
  • Mladen Kolar, Assistant Professor, University of Chicago
  • Andre Martins, Research Scientist, Priberam Labs and Instituto Superior Técnico
  • Kriti Puniyani, Research Scientist, Google
  • Pradipta Ray, Research Scientist, University of Taxes Dallas
  • Suyash Shringarpure, Postdoctoral researcher, Stanford University
  • Kyung-Ah Sohn, Assistant Professor, Ajou University
  • Le Song, Assistant Professor, Georgia Institute of Technology
  • Chong Wang, Technical Lead, Voleon Inc.
  • Sinead Williamson, Assistant Professor, University of Taxes Austin
  • Bing Zhao, Research Scientist, SRI
  • Jun Zhu, Associate Professor, Tsinghua University


Recent Activities:


Research and Development:

  • On December 25th, 2013, we have made an alpha-release of Petuum, a framework for distributed machine learning with massive data, big models, and a wide spectrum of algorithms.

    Teaching:

  • I am teaching Probabilistic Graphical Models (10708) in Spring 2014.

    Services:

  • Programm Committee Chair, ICML 2014.
  • Action Editor/Associate Editor: JASA, AOAS, JMLR, MLJ, and PAMI.


  • Last updated 08/29/2013