Learning Theory

20th Annual Conference on Learning Theory, COLT 2007, San Diego, CA, USA; June 13-15, 2007. Proceedings

  • Editors
  • Nader H. Bshouty
  • Claudio Gentile
Conference proceedings COLT 2007

DOI: 10.1007/978-3-540-72927-3

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4539)

Table of contents (48 papers)

  1. Front Matter
  2. Invited Presentations

  3. Unsupervised, Semisupervised and Active Learning I

    1. Rui M. Castro, Robert D. Nowak
      Pages 5-19
    2. Shai Ben-David, Dávid Pál, Hans Ulrich Simon
      Pages 20-34
    3. Maria-Florina Balcan, Andrei Broder, Tong Zhang
      Pages 35-50
  4. Unsupervised, Semisupervised and Active Learning II

    1. Dana Angluin, James Aspnes, Jiang Chen, Lev Reyzin
      Pages 51-65
    2. Sham M. Kakade, Dean P. Foster
      Pages 82-96
  5. Statistical Learning Theory

    1. Arnak S. Dalalyan, Alexandre B. Tsybakov
      Pages 97-111
    2. Gilles Blanchard, François Fleuret
      Pages 112-126
    3. Sylvain Arlot, Gilles Blanchard, Étienne Roquain
      Pages 127-141
    4. Ran El-Yaniv, Dmitry Pechyony
      Pages 157-171
  6. Inductive Inference

    1. John Case, Samuel E. Moelius III
      Pages 172-186
    2. Oliver Schulte, Wei Luo, Russell Greiner
      Pages 187-202
    3. Lorenzo Carlucci, John Case, Sanjay Jain
      Pages 203-217
    4. Sanjay Jain, Frank Stephan
      Pages 218-232
  7. Online and Reinforcement Learning I

    1. Eyal Even-Dar, Michael Kearns, Yishay Mansour, Jennifer Wortman
      Pages 233-247
    2. Gábor Lugosi, Shie Mannor, Gilles Stoltz
      Pages 248-262

About these proceedings

Keywords

Alphabet active learning algorithm algorithmic learning algorithms classification complexity computational learning decision theory game theory inductive inference kernel method machine learning optimization stability

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-72925-9
  • Online ISBN 978-3-540-72927-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349