My Publications

• Additional publications related to Maximum Margin Matrix Factorization
• Code for Fast MMMF

2014

• Statistical analysis of stochastic gradient methods for generalized linear models.
  Panos Toulis, Jason Rennie, and Edoardo M. Airoldi.
  Proceedings of the 31st International Conference on Machine Learning (ICML). 2014.

2007

• Extracting Information from Informal Communication. [PDF]
  Read the introduction: Postscript, PDF
  Jason D. M. Rennie.
  Massachusetts Institute of Technology. Ph.D. Thesis. February, 2007.
  Committee: Tommi Jaakkola, Michael Collins, Tomaso Poggio.

2005

• Loss Functions for Preference Levels: Regression with Discrete Ordered Labels. [PDF]
  Jason D. M. Rennie and Nathan Srebro.
  Proceedings of the IJCAI Multidisciplinary Workshop on Advances in Preference Handling. 2005.
  Note that our "smooth hinge" loss is closely related to the Huber loss criterion used for M-regression (see defn. of ρ on pg. 75).
• Fast Maximum Margin Matrix Factorization for Collaborative Prediction. [PDF]
  Jason D. M. Rennie and Nathan Srebro.
  Proceedings of the 22nd International Conference on Machine Learning (ICML). 2005.
• Using Term Informativeness for Named Entity Detection. [PDF]
  Jason D. M. Rennie and Tommi Jaakkola.
  Proceedings of the 28th Annual Conference on Research and Development in Information Retrieval (SIGIR). 2005.
  
• Maximum-Margin Matrix Factorization. [PDF]
  Nathan Srebro, Jason D. M. Rennie and Tommi Jaakkola.
  Advances in Neural Information Processing Systems 17 (NIPS). 2005.

2004

• TopCat: Data mining for topic identification in a text corpus. [PDF]
  Chris Clifton, Robert Cooley and Jason Rennie.
  Transactions on Knowledge and Data Engineering 16(8), IEEE Computer Society Press, August, 2004.

2003

• Tackling the Poor Assumptions of Naive Bayes Text Classifiers. [PDF]
  Jason D. M. Rennie, Lawrence Shih, Jaime Teevan and David R. Karger.
  Proceedings of the Twentieth International Conference on Machine Learning (ICML). 2003.
• Text Bundling: Statistics-Based Data Reduction. [PDF]
  Lawrence Shih, Jason D. M. Rennie, Yu-Han Chang and David R. Karger.
  Proceedings of the Twentieth International Conference on Machine Learning (ICML). 2003.
  This paper applies a similar idea. Their technique is more general, but ours is efficient for high-dimensional data such as text.

2002

• Not Too Hot, Not Too Cold: The Bundled-SVM is Just Right! [PDF]
  Lawrence Shih, Yu-Han Chang, Jason D. M. Rennie and David Karger.
  Proceedings of the ICML-2002 Workshop on Text Learning. 2002.

2000

• Automating the Construction of Internet Portals with Machine Learning. [PDF]
  Andrew McCallum, Kamal Nigam, Jason Rennie and Kristie Seymore.
  Information Retrieval Journal. Volume 3, pgs. 127-163. Kluwer. 2000.
• ifile: An Application of Machine Learning to E-mail Filtering. [PDF]
  Jason D. M. Rennie.
  Proceedings of the KDD-2000 Workshop on Text Mining. 2000.

1999

• Using Reinforcement Learning to Spider the Web Efficiently. [PDF]
  Jason Rennie and Andrew McCallum.
  Proceedings of the Sixteenth International Conference on Machine Learning (ICML). 1999.
  Links are to Text Data Analysis workshop version with new results
• A Machine Learning Approach to Building Domain-Specific Search Engines. [PDF]
  Andrew McCallum, Kamal Nigam, Jason Rennie and Kristie Seymore.
  Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI). 1999.
• Building Domain-Specific Search Engines with Machine Learning Techniques. [PDF]
  Andrew McCallum, Kamal Nigam, Jason Rennie and Kristie Seymore.
  Proceedings of the AAAI-99 Spring Symposium. 1999.

Non-Peer-Reviewed Publications

• Automatic Feature Induction for Text Classification. [PDF]
  Jason D. M. Rennie and Tommi Jaakkola.
  MIT AI Lab Abstract Book. 2002.
• Improving Multiclass Text Classification with the Support Vector Machine. [PDF]
  Jason D. M. Rennie and Ryan Rifkin.
  Massachusetts Institute of Technology. AI Memo AIM-2001-026. 2001.
• Improving Multi-class Text Classification with Naive Bayes. [PDF]
  Jason D. M. Rennie.
  Master's Thesis. Massachusetts Institute of Technology. AI Technical Report AITR-2001-004. 2001.
• Another Sys Called Qanda. [PDF]
  E. Breck, J. Burger, L. Ferro, W. Greiff, M. Light, I. Mani, J. Rennie.
  NIST Special Publication 500-249: The Ninth Text REtrieval Conference (TREC 9). 2001.

NOTE: Some of the older PDF's do not have figures.

How not to write a computer science research paper.

The DBLP has citations for a very large number of computer science research papers.