NIPS Proceedingsβ

Carl E. Rasmussen

11 Papers

  • Active Learning of Model Evidence Using Bayesian Quadrature (2012)
  • Additive Gaussian Processes (2011)
  • Gaussian Process Training with Input Noise (2011)
  • Assessing Approximations for Gaussian Process Classification (2005)
  • Gaussian Processes in Reinforcement Learning (2003)
  • Prediction on Spike Data Using Kernel Algorithms (2003)
  • Warped Gaussian Processes (2003)
  • Bayesian Monte Carlo (2002)
  • Derivative Observations in Gaussian Process Models of Dynamic Systems (2002)
  • Infinite Mixtures of Gaussian Process Experts (2001)
  • The Infinite Hidden Markov Model (2001)