NIPS 2000 Review Session

• Geoff Gordon - Slides
  - His NIPS paper: Reinforcement Learning with Function Approximation Converges to a Region
• Joelle Pineau - Slides
  - J. Boyan and M. Littman's paper: Exact Solutions to Time-Dependent MDPs
• John Langford - Slides
  - O. Bosquet and A. Elisseeff's paper: Algorithmic Stability and Generalization Performance
• Tom Minka - Slides - Matlab Code
  - An overview of various papers related to Gaussian Processes:
  - Volker Tresp, "The generalized bayesian committee machine" (not at NIPS, but good)
  - Volker Tresp, "Mixtures of gaussian processes" (this is the one at NIPS)
  - A. J. Smola and P. L. Bartlett, "Sparse greedy gaussian process regression"
  - Csato and Opper, "Sparse Representation for Gaussian Process Models"