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All publications by Andreas Christmann
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Universal Kernels on Non-Standard Input Spaces
Andreas Christmann and Ingo Steinwart
Advances in Neural Information Processing Systems 23, 2010


Fast Learning from Non-i.i.d. Observations
Ingo Steinwart and Andreas Christmann
Advances in Neural Information Processing Systems 22, 2009


Bouligand Derivatives and Robustness of Support Vector Machines for Regression
Andreas Christmann and Arnout V. Messem
Journal of Machine Learning Research, 2008


Sparsity of SVMs that use the epsilon-insensitive loss
Ingo Steinwart and Andreas Christmann
Advances in Neural Information Processing Systems 21, 2008


How SVMs can estimate quantiles and the median
Andreas Christmann and Ingo Steinwart
Advances in Neural Information Processing Systems 20, 2007


On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition
Andreas Christmann and Ingo Steinwart
Journal of Machine Learning Research, 2004