Search Machine Learning Repository:
All publications by Ingo Steinwart
authors venues years



Consistency and Rates for Clustering with DBSCAN
Bharath K. Sriperumbudur and Ingo Steinwart
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Optimal learning rates for least squares SVMs using Gaussian kernels
Mona Eberts and Ingo Steinwart
Advances in Neural Information Processing Systems 24, 2011


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


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


An Oracle Inequality for Clipped Regularized Risk Minimizers
Ingo Steinwart, Don Hush and Clint Scovel
Advances in Neural Information Processing Systems 19, 2006


QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines
Don R. Hush, Patrick Kelly, Clint Scovel and Ingo Steinwart
Journal of Machine Learning Research, 2006


A Classification Framework for Anomaly Detection
Ingo Steinwart, Don R. Hush and Clint Scovel
Journal of Machine Learning Research, 2005


Fast Rates to Bayes for Kernel Machines
Ingo Steinwart and Clint Scovel
Advances in Neural Information Processing Systems 17, 2004


Density Level Detection is Classification
Ingo Steinwart, Don Hush and Clint Scovel
Advances in Neural Information Processing Systems 17, 2004


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


Sparseness of Support Vector Machines
Ingo Steinwart
Journal of Machine Learning Research, 2003


Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds
Ingo Steinwart
Advances in Neural Information Processing Systems 16, 2003


On the Influence of the Kernel on the Consistency of Support Vector Machines
Ingo Steinwart
Journal of Machine Learning Research, 2001