Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

   

Faculty Publications - Peter Bartlett

Books

  • A. J. Smola, P. L. Bartlett, B. Schölkopf, and D. Schuurmans, Eds., Advances in Large Margin Classifiers, Neural Information Processing Series, Cambridge, MA: MIT Press, 2000. [abstract]
  • M. Anthony and P. L. Bartlett, Neural Network Learning: Theoretical Foundations, Cambridge; New York: Cambridge University Press, 1999. [abstract]

Book chapters or sections

  • J. Abernethy, P. Bartlett, A. Rakhlin, and A. Tewari, "Optimal strategies and minimax lower bounds for online convex games," in Learning Theory: Proc. 21st Annual Conf. (COLT 2008), R. A. Servedio and T. Zhang, Eds., Lecture Notes in Computer Science, Berlin, Germany: Springer-Verlag, 2008, pp. 415-424.
  • P. Bartlett, V. Dani, T. P. Hayes, S. Kakade, A. Rakhlin, and A. Tewari, "High-probability regret bounds for bandit online linear optimization," in Learning Theory: Proc. 21st Annual Conf. (COLT 2008), R. A. Servedio and T. Zhang, Eds., Lecture Notes in Computer Science, Berlin, Germany: Springer-Verlag, 2008, pp. 335-342.
  • A. Tewari and P. Bartlett, "Optimistic linear programming gives logarithmic regret for irreducible MDPs," in Advances in Neural Information Processing Systems 20: Proc. of the 21st Annual Conf. (NIPS 2007), D. Koller, Y. Singer, and J. Platt, Eds., Advances in Neural Information Processing Systems, Vol. 20, Cambridge, MA: MIT Press, 2008. [abstract]
  • P. Bartlett, E. Hazan, and A. Rakhlin, "Adaptive online gradient descent," in Advances in Neural Information Processing Systems 20: Proc. of the 21st Annual Conf. (NIPS 2007), D. Koller, Y. Singer, and J. Platt, Eds., Advances in Neural Information Processing Systems, Vol. 20, Cambridge, MA: MIT Press, 2008. [abstract]
  • P. Bartlett and M. Traskin, "AdaBoost is consistent," in Advances in Neural Information Processing Systems 19: Proc. of the 20th Annual Conf. (NIPS 2006), B. Scholkopf, J. Platt, and T. Hoffman, Eds., Advances in Neural Information Processing, Vol. 19, Cambridge, MA: MIT Press, 2007, pp. 105-112.
  • B. I. P. Rubinstein, P. Bartlett, and J. H. Rubinstein, "Shifting, one-inclusion mistake bounds and tight multiclass expected risk bounds," in Advances in Neural Information Processing Systems 19: Proc. of the 20th Annual Conf. (NIPS 2006), B. Scholkopf, J. Platt, and T. Hoffman, Eds., Advances in Neural Information Processing Systems, Vol. 19, Cambridge, MA: MIT Press, 2007, pp. 1193-1200.
  • P. Bartlett and A. Tewari, "Sample complexity of policy search with known dynamics," in Advances in Neural Information Processing Systems 19: Proc. of the 20th Annual Conf. (NIPS 2006), B. Scholkopf, J. Platt, and T. Hoffman, Eds., Advances in Neural Information Processing Systems, Vol. 19, Cambridge, MA: MIT Press, 2007, pp. 97-104.
  • J. Abernethy, P. Bartlett, and A. Rakhlin, "Multitask learning with expert advice," in Learning Theory: Proc. 20th Annual Conf. on Learning Theory (COLT 2007), N. H. Bshouty and C. Gentile, Eds., Lecture Notes in Computer Science: Artificial Intelligence, Vol. 4539, Berlin, Germany: Springer-Verlag, 2007, pp. 484-498.
  • A. Tewari and P. Bartlett, "Bounded parameter Markov decision processes with average reward criterion," in Learning Theory: Proc. 20th Annual Conf. on Learning Theory (COLT 2007), N. H. Bshouty and C. Gentile, Eds., Lecture Notes in Computer Science: Artificial Intelligence, Vol. 4539, Berlin, Germany: Springer-Verlag, 2007, pp. 263-277.
  • A. Rakhlin, J. Abernethy, and P. Bartlett, "Online discovery of similarity mappings," in Proc. 24th Intl. Conf. on Machine Learning (ICML-2007), Z. Ghahramani, Ed., ACM International Conference Proceeding Series, Vol. 227, New York, NY: The Association for Computing Machinery, Inc., 2007, pp. 767-774.
  • P. Bartlett, M. Collins, B. Taskar, and D. McAllester, "Exponentiated gradient algorithms for large-margin structured classification," in Advances in Neural Information Processing Systems 17: Proc. of the 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. 113-120.
  • A. Tewari and P. Bartlett, "On the consistency of multiclass classification methods," in Learning Theory: Proc. of the 18th Annual Conf. on Learning Theory (COLT 2005), P. Auer and R. Meir, Eds., Lecture Notes in Computer Science: Artificial Intelligence, Vol. 3559, Berlin, Germany: Springer-Verlag, 2005, pp. 143-157.
  • 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.

Articles in journals or magazines

Articles in conference proceedings

Technical Reports

Patents

  • P. L. Bartlett, A. Elisseeff, and B. Schoelkopf, "Kernels and methods for selecting kernels for use in learning machines," U.S. Patent Application. Nov. 2003.

Masters Reports