NIPS Proceedingsβ

Olivier Bousquet

8 Papers

  • The Tradeoffs of Large Scale Learning (2007)
  • Limits of Spectral Clustering (2004)
  • Learning with Local and Global Consistency (2003)
  • Measure Based Regularization (2003)
  • PAC-Bayesian Generic Chaining (2003)
  • Ranking on Data Manifolds (2003)
  • On the Complexity of Learning the Kernel Matrix (2002)
  • Algorithmic Stability and Generalization Performance (2000)