NIPS Proceedingsβ

Karsten Borgwardt

11 Papers

  • Finding significant combinations of features in the presence of categorical covariates (2016)
  • Halting in Random Walk Kernels (2015)
  • It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals (2013)
  • Rapid Distance-Based Outlier Detection via Sampling (2013)
  • Scalable kernels for graphs with continuous attributes (2013)
  • Efficient inference in matrix-variate Gaussian models with \iid observation noise (2011)
  • Fast subtree kernels on graphs (2009)
  • Colored Maximum Variance Unfolding (2007)
  • A Kernel Method for the Two-Sample-Problem (2006)
  • Correcting Sample Selection Bias by Unlabeled Data (2006)
  • Fast Computation of Graph Kernels (2006)