Tommi S. Jaakkola, Ph.D. Thomas Siebel Professor of Electrical Engineering and Computer Science and the Institute for Data, Systems, and Society MIT Computer Science and Artificial Intelligence Laboratory Stata Center, Bldg 32-G470 Cambridge, MA 02139 tommi at csail dot mit dot edu [home]   [papers]   [research]   [courses]   [people]

The list does not include all recent preprints from arXiv or bioRxiv. For a more complete list, see my Google scholar page

Semi-supervised learning papers

• Adrian Corduneanu and Tommi Jaakkola.
  Data dependent regularization.
  Semi-supervised learning, 2006.
  [pdf]
• A. Corduneanu and T. Jaakkola.
  Distributed Information Regularization on Graphs.
  Advances in Neural Information Processing Systems (NIPS), 2004.
  [pdf]
• A. Corduneanu and T. Jaakkola.
  On Information Regularization.
  Proceedings of the Nineteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI), 2003.
  [ps.gz]
• M. Szummer and T. Jaakkola.
  Information Regularization with Partially Labeled Data.
  Advances in Neural Information processing systems (NIPS), 2002.
  [pdf]
• A. Corduneanu and T. Jaakkola.
  Continuation Methods for Mixing Heterogeneous Sources.
  Proceedings of the Eighteenth Annual Conference on Uncertainty in Artificial Intelligence (UAI), 2002.
  [ps.gz]
• A. Corduneanu and T. Jaakkola.
  Stable mixing of complete and incomplete information.
  2001.
  [pdf]
• M. Szummer and T. Jaakkola.
  Partially labeled classification with Markov Random Walks.
  Advances in Neural Information processing systems (NIPS), 2001.
  [ps]
• M. Szummer and T. Jaakkola.
  Kernel expansions with unlabeled examples.
  Advances in Neural Information Processing Systems (NIPS), 2000.
  [ps]
• T. Jaakkola, M. Meila, and T. Jebara.
  Maximum entropy discrimination.
  Advances in Neural Information Processing Systems (NIPS), 1999.
  [ps]
• T. Jaakkola, M. Meila, and T. Jebara.
  Maximum entropy discrimination.
  1999.
  [ps]