Michael Collins

Michael Collins
X-Consortium Associate Professor of Computer Science
Sloan Research Fellow

MIT Computer Science and Artificial Intelligence Laboratory
Stata Center, Bldg 32-G484
Cambridge, MA 02139
Phone: 617 253 0705
Email: mcollins AT csail DOT mit DOT edu

Teaching, Fall 2008: 6.867 (Machine Learning), with Tommi Jaakkola
Bio: My research interests are in natural language processing, and machine learning. I completed a PhD in computer science from the University of Pennsylvania in December 1998. From January 1999 to November 2002 I was a researcher at AT&T Labs-Research. I joined MIT in January 2003.

Publications
Students and Postdocs
Software and Data Sets (including source code for my PhD thesis parser).
Past Teaching

Recent work:
- Xavier Carreras, Michael Collins, and Terry Koo.
  TAG, Dynamic Programming and the Perceptron for Efficient, Feature-rich Parsing.
  In Proceedings of CONLL 2008.
  Video of an invited talk at ICML 2008, mainly focusing on work described in the CONLL 2008 paper.
- Ariadna Quattoni, Michael Collins, and Trevor Darrell.
  Transfer Learning for Image Classification with Sparse Prototype Representations.
  In Proceedings of CVPR 2008.
- Terry Koo, Xavier Carreras, and Michael Collins.
  Simple Semi-supervised Dependency Parsing.
  In Proceedings of ACL 2008.
- Michael Collins, Amir Globerson, Terry Koo, Xavier Carreras, and Peter Bartlett.
  Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks.
  To appear in JMLR (the paper linked here is the submission version, the final version will be posted shortly).
  This paper extends the ICML 2007 and NIPS 2004 papers on EG algorithms with additional proofs and experiments.