© 2007

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

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

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4539)

Table of contents

  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


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

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