NIPS Proceedingsβ

Corinna Cortes

14 Papers

  • Boosting with Abstention (2016)
  • Structured Prediction Theory Based on Factor Graph Complexity (2016)
  • Learning Kernels Using Local Rademacher Complexity (2013)
  • Accuracy at the Top (2012)
  • Learning Bounds for Importance Weighting (2010)
  • Learning Non-Linear Combinations of Kernels (2009)
  • Polynomial Semantic Indexing (2009)
  • On Transductive Regression (2006)
  • Confidence Intervals for the Area Under the ROC Curve (2004)
  • AUC Optimization vs. Error Rate Minimization (2003)
  • Rational Kernels (2002)
  • Boosting Decision Trees (1995)
  • Limits on Learning Machine Accuracy Imposed by Data Quality (1994)
  • Learning Curves: Asymptotic Values and Rate of Convergence (1993)
  • 2 Books

  • Advances in Neural Information Processing Systems 28 (2015)
  • Advances in Neural Information Processing Systems 27 (2014)