Andreas Christmann

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 9

Top Topics

Online Learning

Top Venues

Empirical Inference

J. Mach. Learn. Res.

Publications

Zheng-Chu Guo, Andreas Christmann, Lei Shi
Optimality of Robust Online Learning. CoRR (2023)
Hannes Köhler, Andreas Christmann
Total Stability of SVMs and Localized SVMs. J. Mach. Learn. Res. 23 (2022)
Hannes Köhler, Andreas Christmann
Total Stability of SVMs and Localized SVMs. CoRR (2021)
Patrick Gensler, Andreas Christmann
On the robustness of kernel-based pairwise learning. CoRR (2020)
Andreas Christmann, Dao-Hong Xiang, Ding-Xuan Zhou
Total stability of kernel methods. Neurocomputing 289 (2018)
Florian Dumpert, Andreas Christmann
Universal consistency and robustness of localized support vector machines. Neurocomputing 315 (2018)
Andreas Christmann, Dao-Hong Xiang, Ding-Xuan Zhou
Total stability of kernel methods. CoRR (2017)
Andreas Christmann, Ding-Xuan Zhou
On the robustness of regularized pairwise learning methods based on kernels. J. Complex. 37 (2016)
Andreas Christmann, Florian Dumpert, Dao-Hong Xiang
A short note on extension theorems and their connection to universal consistency in machine learning. CoRR (2016)
Andreas Christmann, Robert Hable
On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel Based Methods CoRR (2013)
Andreas Christmann, Robert Hable
On the Consistency of the Bootstrap Approach for Support Vector Machines and Related Kernel-Based Methods. Empirical Inference (2013)
Andreas Christmann, Robert Hable
Consistency of support vector machines using additive kernels for additive models. Comput. Stat. Data Anal. 56 (4) (2012)
Robert Hable, Andreas Christmann
On qualitative robustness of support vector machines. J. Multivar. Anal. 102 (6) (2011)
Andreas Christmann, Ingo Steinwart
Universal Kernels on Non-Standard Input Spaces. NIPS (2010)
Arnout Van Messem, Andreas Christmann
A review on consistency and robustness properties of support vector machines for heavy-tailed distributions. Adv. Data Anal. Classif. 4 (2-3) (2010)
Michiel Debruyne, Andreas Christmann, Mia Hubert, Johan A. K. Suykens
Robustness of reweighted Least Squares Kernel Based Regression. J. Multivar. Anal. 101 (2) (2010)
Ingo Steinwart, Andreas Christmann
Fast Learning from Non-i.i.d. Observations. NIPS (2009)
Andreas Christmann, Arnout Van Messem
Bouligand Derivatives and Robustness of Support Vector Machines for Regression. J. Mach. Learn. Res. 9 (2008)
Ingo Steinwart, Andreas Christmann
Sparsity of SVMs that use the epsilon-insensitive loss. NIPS (2008)
Andreas Christmann, Ingo Steinwart
How SVMs can estimate quantiles and the median. NIPS (2007)
B. Vandewalle, Jan Beirlant, Andreas Christmann, Mia Hubert
A robust estimator for the tail index of Pareto-type distributions. Comput. Stat. Data Anal. 51 (12) (2007)
Andreas Christmann, Ingo Steinwart, Mia Hubert
Robust learning from bites for data mining. Comput. Stat. Data Anal. 52 (1) (2007)
Andreas Christmann
On a Combination of Convex Risk Minimization Methods. GfKl (2004)
Andreas Christmann, Ingo Steinwart
On Robustness Properties of Convex Risk Minimization Methods for Pattern Recognition. J. Mach. Learn. Res. 5 (2004)
Andreas Christmann
Regression depth and support vector machine. Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications (2003)
Peter J. Rousseeuw, Andreas Christmann
Robustness against separation and outliers in logistic regression. Comput. Stat. Data Anal. 43 (3) (2003)
Andreas Christmann, Paul Fischer, Thorsten Joachims
Comparison between various regression depth methods and the support vector machine to approximate the minimum number of misclassifications. Comput. Stat. 17 (2) (2002)
Andreas Christmann, Paul Fischer, Thorsten Joachims
Classification Based on the Support Vector Machine, Regression Depth, and Discriminant Analysis. COMPSTAT (2002)
Andreas Christmann
On group sequential tests based on robust location and scale estimators in the two-sample problem. Comput. Stat. 14 (3) (1999)
Andreas Christmann, Günter Schwichtenberg
KIT200x - Eine Expertenumfrage über die Zukunft der Kommunikations- und Informationstechnik jenseits der Jahrtausendwende. GI-Fachtagung über Rechenzentren (1997)