Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

   

Faculty Publications - Michael Jordan

Books

  • M. I. Jordan and T. J. Sejnowski, Eds., Graphical Models: Foundations of Neural Computation, Computational Neuroscience, Cambridge, MA: MIT Press, 2001. [abstract]
  • M. I. Jordan, Ed., Learning in Graphical Models, Adaptive Computation and Machine Learning, Cambridge, MA: MIT Press, 1999. [abstract]

Book chapters or sections

  • S. Sankararaman, G. Kimmel, E. Halperin, and M. Jordan, "On the inference of ancestries in admixed populations," in Research in Computational Molecular Biology: Proc. 12th Annual Intl. Conf. (RECOMB 2008), M. Vingron and L. Wong, Eds., Lecture Notes in Computer Science::Lecture Notes in Bioinformatics, Vol. 4955, Berlin, Germany: Springer-Verlag, 2008, pp. 424-433.
  • L. Huang, X. Nguyen, M. Garofalakis, M. Jordan, A. D. Joseph, and N. Taft, "In-network PCA and anomaly detection," in Advances in Neural Information Processing Systems 19: Proc. 20th Annual Conf. (NIPS 2006), B. Scholkopf, J. Platt, and T. Hofmann, Eds., Advances in Neural Information Processing Systems, Vol. 19, Cambridge, MA: MIT Press, 2007, pp. 617-624.
  • M. Wainwright and M. Jordan, "A variational principle for graphical models," in New Directions in Statistical Signal Processing: From Systems to Brain, S. Haykin, J. C. Principe, T. J. Sejnowski, and J. McWhirter, Eds., Neural Information Processing, Cambridge, MA: MIT Press, 2006, pp. 155-202.
  • N. D. Lawrence and M. Jordan, "Gaussian processes and the null-category noise model," in Semi-Supervised Learning, O. Chapelle, B. Schoelkopf, and A. Zien, Eds., Cambridge, MA: MIT Press, 2006, pp. 138-144.
  • X. Nguyen, M. Wainwright, and M. Jordan, "Divergences, surrogate loss functions and experimental design," in Advances in Neural Information Processing Systems 18: Proc. 19th Annual Conf. (NIPS 2005), Y. Weiss, B. Scholkopf, and J. Platt, Eds., Neural Information Processing Systems, Vol. 18, Cambridge, MA: MIT Press, 2006, pp. 1011-1018.
  • B. Taskar, S. Lacoste Julien, and M. Jordan, "Structured prediction via the extragradient method," in Advances in Neural Information Processing Systems 18: Proc. 19th Annual Conf. (NIPS 2005), Y. Weiss, B. Schoelkopf, and J. Platt, Eds., Advances in Neural Information Processing Systems, Vol. 18, Cambridge, MA: MIT Press, 2006, pp. 1345-1352.
  • P. Flaherty, M. Jordan, and A. P. Arkin, "Robust design of biological experiments," in Advances in Neural Information Processing Systems 18: Proc. 19th Annual Conf. (NIPS 2005), Y. Weiss, B. Schoelkopf, and J. Platt, Eds., Advances in Neural Information Processing Systems, Vol. 18, Cambridge, MA: MIT Press, 2006, pp. 363-370.
  • Y. W. Teh, M. Jordan, M. J. Beal, and D. M. Blei, "Sharing clusters among related groups: Hierarchical Dirichlet processes," in Advances in Neural Information Processing Systems 17: Proc. 18th Annual Conf. (NIPS 2004), L. K. Saul, Y. Weiss, and L. Bottou, Eds., Advances in Neural Information Processing Systems, Vol. 17, Cambridge, MA: MIT Press, 2005, pp. 1385-1392.
  • F. R. Bach and M. Jordan, "Blind one-microphone speech separation: A spectral learning approch," in Advances in Neural Information Processing 17: Proc. 18th Annual Conf. (NIPS 2004), L. K. Saul, Y. Weiss, and L. Bottou, Eds., Advances in Neural Information Processing, Vol. 17, Cambridge, MA: MIT Press, 2005, pp. 65-72.
  • A. d'Aspremont, L. El Ghaoui, M. Jordan, and G. R. G. Lanckriet, "A direct formulation for sparse PCA using semidefinite programming," in Advances in Neural Information Processing Systems 17: Proc. 18th Annual Conf. (NIPS 2004), L. K. Saul, Y. Weiss, and L. Bottou, Eds., Advances in Neural Information Processing Systems, Vol. 17, Cambridge, MA: MIT Press, 2005, pp. 41-48.
  • N. D. Lawrence and M. Jordan, "Semi-supervised learning via Gaussian processes," in Advances in Neural Information Processing Systems 17: Proc. 18th Annual Conf. (NIPS 2004), L. K. Saul, Y. Weiss, and L. Bottou, Eds., Advances in Neural Information Processing Systems, Vol. 17, Cambridge, MA: MIT Press, 2005, pp. 753-760.
  • F. R. Bach, R. Thibaux, and M. Jordan, "Computing regularization paths for learning multiple kernels," in Advances in Neural Information Processing Systems 17: Proc. 18th Annual Conf. (NIPS 2004), L. K. Saul, Y. Weiss, and L. Bottou, Eds., Advances in Neural Information Processing Systems, Vol. 17, Cambridge, MA: MIT Press, 2005, pp. 73-80.
  • N. D. Lawrence, J. C. Platt, and M. Jordan, "Extensions of the informative vector machine," in Deterministic and Statistical Methods in Machine Learning: Proc. 1st Intl. Sheffield Machine Learning Workshop. Revised Lectures, J. Winkler, M. Niranjan, and N. Lawrence, Eds., Lecture Notes in Computer Science, Vol. 3635, Berlin, Germany: Springer-Verlag, 2005, pp. 56-87.
  • M. Wainwright and M. Jordan, "Semidefinite relaxations for approximate inference on graphs with cycles," in Advances in Neural Information Processing Systems 16: Proc. 17th Annual Conf. (NIPS 2003), S. Thrun, L. K. Saul, and B. Schoelkopf, Eds., Neural Information Processing Systems, Vol. 16, Cambridge, MA: MIT Press, 2004, pp. 369-376.
  • F. R. Bach and M. Jordan, "Learning spectral clustering," in Advances in Neural Information Processing Systems 16: Proc. 17th Annual Conf. (NIPS 2003), S. Thrun, L. K. Saul, and B. Schoelkopf, Eds., Advances in Neural Information Processing Systems, Vol. 16, Cambridge, MA: MIT Press, 2004, pp. 305-312.
  • D. M. Blei, T. L. Griffiths, M. Jordan, and J. B. Tenenbaum, "Hierarchical topic models and the nested Chinese restaurant process," in Advances in Neural Information Processing Systems 16: Proc. 17th Annual Conf. (NIPS 2003), S. Thrun, L. K. Saul, and B. Schoelkopf, Eds., Advances in Neural Information Processing Systems, Vol. 16, Cambridge, MA: MIT Press, 2004, pp. 17-24.
  • K. Fukumizu, F. R. Bach, and M. Jordan, "Kernel dimensionality reduction for supervised learning," in Advances in Neural Information Processing Systems 16: Proc. 17th Annual Conf. (NIPS 2003), S. Thrun, L. K. Saul, and B. Schoelkopf, Eds., Advances in Neural Information Processing Systems, Vol. 16, Cambridge, MA: MIT Press, 2004, pp. 81-88.
  • P. Bartlett, M. Jordan, and J. D. McAuliffe, "Large margin classifiers: Convex loss, low noise, and convergence rates," in Advances in Neural Information Processing Systems 16: Proc. 17th Annual Conf. (NIPS 2003), S. Thrun, L. K. Saul, and B. Schoelkopf, Eds., Advances in Neural Information Processing Systems, Vol. 16, Cambridge, MA: MIT Press, 2004, pp. 1173-1180.
  • X. Nguyen and M. Jordan, "On the concentration of expectation and approximate inference in layered networks," in Advances in Neural Information Processing Systems 16: Proc. 17th Annual Conf. (NIPS 2003), S. Thrun, L. K. Saul, and B. Schoelkopf, Eds., Advances in Neural Information Processing Systems, Vol. 16, Cambridge, MA: MIT Press, 2004, pp. 393-400.
  • A. X. Zheng, M. Jordan, B. Liblit, and A. Aiken, "Statistical debugging of sampled programs," in Advances in Neural Information Processing Systems 16: Proc. 17th Annual Conf. (NIPS 2003), S. Thrun, L. K. Saul, and B. Schoelkopf, Eds., Advances in Neural Information Processing Systems, Vol. 16, Cambridge, MA: MIT Press, 2004, pp. 603-610.
  • A. Y. Ng, H. J. Kim, M. Jordan, and S. S. Sastry, "Autonomous helicopter flight via reinforcement learning," in Advances in Neural Information Processing Systems 16: Proc. 17th Annual Conf. (NIPS 2003), S. Thrun, L. K. Saul, and B. Schoelkopf, Eds., Advances in Neural Information Processing Systems, Vol. 16, Cambridge, MA: MIT Press, 2004, pp. 799-806.
  • F. R. Bach and M. Jordan, "Learning graphical models with Mercer kernels," in Advances in Neural Information Processing Systems: Proc. 16th Annual Conf. (NIPS 2002), S. Becker, S. Thrun, and K. Obermayer, Eds., Vol. 15, Cambridge, MA: MIT Press, 2003, pp. 1033-1040.
  • G. R. G. Lanckriet, L. El Ghaoui, and M. Jordan, "Robust novelty detection with single-class MPM," in Advances in Neural Information Processing Systems: Proc. 16th Annual Conf. (NIPS 2002), S. Becker, S. Thrun, and K. Obermayer, Eds., Vol. 15, Cambridge, MA: MIT Press, 2003, pp. 929-936.
  • E. P. Xing, A. Y. Ng, M. Jordan, and S. J. Russell, "Distance metric learning with application to clustering with side-information," in Proc. 16th Annual Advances in Neural Information Processing Systems (NIPS 2002), S. Becker, S. Thrun, and K. Obermayer, Eds., Bradford Books, Vol. 15, Cambridge, MA: MIT Press, 2003, pp. 521-528.
  • E. Todorov and M. Jordan, "A minimal intervention principle for coordinated movement," in Advances in Neural Information Processing Systems: Proc. 16th Annual Conf. (NIPS 2002), S. Becker, S. Thrun, and K. Obermayer, Eds., Vol. 15, Cambridge, MA: MIT Press, 2003, pp. 27-34.
  • E. P. Xing, M. Jordan, R. M. Karp, and S. J. Russell, "A hierarchical Bayesian Markovian model for motifs in biopolymer sequences," in Proc. 16th Annual Advances in Neural Information Processing Systems (NIPS 2002), S. Becker, S. Thrun, and K. Obermayer, Eds., Bradford Books, Vol. 15, Cambridge, MA: MIT Press, 2003, pp. 1513-1520.
  • M. Jordan, "Neural Networks," in The MIT Encyclopedia of Cognitive Sciences (MITECS), R. A. Wilson and F. C. Keil, Eds., Bradford Books, Cambridge, MA: MIT Press, 1999, pp. 597-598.
  • M. Jordan and S. J. Russell, "Computational Intelligence (Prefatory Material)," in The MIT Encyclopedia of the Cognitive Sciences (MITECS), R. A. Wilson and F. C. Keil, Eds., Bradford Books, Cambridge, MA: MIT Press, 1999, pp. lxxiii-xc.
  • R. Parr and S. J. Russell, "Reinforcement learning with hierarchies of machines," in Advances in Neural Information Processing Systems 10: Proc. 11th Annual Conf. (NIPS 1997), M. Jordan, M. J. Kearns, and S. A. Solla, Eds., Bradford Books, Vol. 10, Cambridge, MA: MIT Press, 1998, pp. 1043-1049.

Articles in journals or magazines

Articles in conference proceedings

Conference proceedings (edited)

Technical Reports

Software

Talks or presentations

Ph.D. Theses

Masters Reports