NIPS Proceedingsβ

Clayton Scott

8 Papers

  • Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space (2014)
  • Generalizing from Several Related Classification Tasks to a New Unlabeled Sample (2011)
  • Extensions of Generalized Binary Search to Group Identification and Exponential Costs (2010)
  • Performance analysis for L\_2 kernel classification (2008)
  • Learning Minimum Volume Sets (2005)
  • On the Adaptive Properties of Decision Trees (2004)
  • Near-Minimax Optimal Classification with Dyadic Classification Trees (2003)
  • Dyadic Classification Trees via Structural Risk Minimization (2002)