NIPS Proceedingsβ

Ingo Steinwart

9 Papers

  • Optimal learning rates for least squares SVMs using Gaussian kernels (2011)
  • Universal Kernels on Non-Standard Input Spaces (2010)
  • Fast Learning from Non-i.i.d. Observations (2009)
  • Sparsity of SVMs that use the epsilon-insensitive loss (2008)
  • How SVMs can estimate quantiles and the median (2007)
  • An Oracle Inequality for Clipped Regularized Risk Minimizers (2006)
  • Density Level Detection is Classification (2004)
  • Fast Rates to Bayes for Kernel Machines (2004)
  • Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds (2003)