NIPS Proceedingsβ

Robert C. Williamson

17 Papers

  • Learning with Symmetric Label Noise: The Importance of Being Unhinged (2015)
  • From Stochastic Mixability to Fast Rates (2014)
  • Mixability in Statistical Learning (2012)
  • Composite Multiclass Losses (2011)
  • Hyperkernels (2002)
  • Algorithmic Luckiness (2001)
  • Kernel Machines and Boolean Functions (2001)
  • Online Learning with Kernels (2001)
  • From Margin to Sparsity (2000)
  • Regularization with Dot-Product Kernels (2000)
  • Support Vector Method for Novelty Detection (1999)
  • The Entropy Regularization Information Criterion (1999)
  • Shrinking the Tube: A New Support Vector Regression Algorithm (1998)
  • Examples of learning curves from a modified VC-formalism (1995)
  • Rational Parametrizations of Neural Networks (1992)
  • Splines, Rational Functions and Neural Networks (1991)
  • e-Entropy and the Complexity of Feedforward Neural Networks (1990)