NIPS Proceedingsβ

Christopher K. I. Williams

16 Papers

  • On a Connection between Kernel PCA and Metric Multidimensional Scaling (2000)
  • Using the Nyström Method to Speed Up Kernel Machines (2000)
  • A MCMC Approach to Hierarchical Mixture Modelling (1999)
  • Adding Constrained Discontinuities to Gaussian Process Models of Wind Fields (1998)
  • Discovering Hidden Features with Gaussian Processes Regression (1998)
  • DTs: Dynamic Trees (1998)
  • Finite-Dimensional Approximation of Gaussian Processes (1998)
  • Regression with Input-dependent Noise: A Gaussian Process Treatment (1997)
  • Computing with Infinite Networks (1996)
  • Gaussian Processes for Bayesian Classification via Hybrid Monte Carlo (1996)
  • GTM: A Principled Alternative to the Self-Organizing Map (1996)
  • EM Optimization of Latent-Variable Density Models (1995)
  • Gaussian Processes for Regression (1995)
  • Using a neural net to instantiate a deformable model (1994)
  • Directional-Unit Boltzmann Machines (1992)
  • Adaptive Elastic Models for Hand-Printed Character Recognition (1991)
  • 2 Books

  • Advances in Neural Information Processing Systems 23 (2010)
  • Advances in Neural Information Processing Systems 22 (2009)