Contact

Prof. Dr. Bernhard Schölkopf

Adresse: Spemannstr. 38
72076 Tübingen
Raum Nummer: 211
Tel.: 07071 601 551
Fax: 07071 601 552
E-Mail: bernhard.schoelkopf

 

Bild von Schölkopf, Bernhard, Prof. Dr.

Bernhard Schölkopf

Position: Direktor  Abteilung: Schölkopf

Note: We have moved to the MPI for Metals Research and are in the process of reorienting it into an MPI for Intelligent Systems (working title). For a press release in German, click here.

 

My scientific interests are in the field of inference from empirical data, in particular machine learning and perception, and I am head of the Department of Empirical Inference. In particular, I study kernel methods for extracting regularities from high-dimensional data. These regularities are usually statistical ones, however, in recent years I have also become interested in methods for finding causal regularities.

To learn more about our work, you may want to take a look at the Department Overview from the last report to our scientific advisory board, or at short project reports from the same document:

 

Many of the papers can downloaded if you click on the tab "publications;" the older ones usually from http://www.kernel-machines.org/. A starting point is the first chapter of our book Learning with Kernels, available online. If your interest in machine learning is a mathematical one, you might prefer our review paper in the Annals of Statistics (arXiv link). For a general audience, I wrote a short high-level introduction in German that appeared in the Jahrbuch of the Max Planck Society.

Click here for a photograph of a beautiful northern light, which I took a few years ago from the plane on the way home from NIPS.

Note: I am not very organized with my e-mail; if you want to apply for a position in my lab, please send your application only to Sabrina.Rehbaum@tuebingen.mpg.de.

Bernhard Schölkopf was born in Stuttgart on 20 February, 1968. He received an M.Sc. in mathematics and the Lionel Cooper Memorial Prize from the University of London in 1992, followed in 1994 by the Diplom in physics from the Eberhard-Karls-Universität, Tübingen. Three years later, he obtained a doctorate in computer science from the Technical University Berlin. His thesis on Support Vector Learning won the annual dissertation prize of the German Association for Computer Science (GI). In 1998, he won the prize for the best scientific project at the German National Research Center for Computer Science (GMD). He has researched at AT&T Bell Labs, at GMD FIRST, Berlin, at the Australian National University, Canberra, and at Microsoft Research Cambridge (UK). He has taught at Humboldt University, Technical University Berlin, and Eberhard-Karls-University Tübingen. In July 2001, he was appointed scientific member of the Max Planck Society and director at the MPI for Biological Cybernetics; in October 2002, he was appointed Honorarprofessor for Machine Learning at the Technical University Berlin. In 2006, he received the J. K. Aggarwal Prize of the International Association for Pattern Recognition, in 2011, he got the Max Planck Research Award. The ISI lists him as a highly cited researcher. He served on the editorial boards of JMLR, IEEE PAMI, and IJCV.


He is on the boards of the NIPS foundation and of the International Machine Learning Society. Members of his department have won various awards at the major machine learning conference.
Some details:

Journal of Machine Learning Research is an online journal which he helped launch as a founding action editor in early 2000. JMLR is the flagship journal of machine learning.
International Journal of Computer Vision
, one of the two flagship journals of computer vision (with IEEE PAMI, see below)
IEEE Transactions on Pattern Analysis and Machine Intelligence

Information Science and Statistics
, a Springer series of monographs
Advances in Data Analysis and Classification

With 5-year impact factors (ISI, 2008) of 10.3 and 8.0, respectively, IJCV and PAMI are the two top journals in the general area of artificial intelligence (they are ranked three and five in all of computer science). JMLR is number four (5.9).

In addition, he has served and serves as PC member (e.g., NIPS, COLT, ICML, UAI, DAGM, CVPR, Snowbird Learning Workshop) and as (program) (co-)chair of various conferences (COLT'03, DAGM'04, NIPS'05 (click here for NIPS'05 author and reviewer information), as well as the first two kernel workshops). He acted as general chair of NIPS'06.

Präferenzen: 
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Zeige Zusammenfassung

Beiträge zu Tagungsbänden (208):

Walder C, Schölkopf B und Chapelle O (September-2007) Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions In: Advances in Neural Information Processing Systems 19, , Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 273-280.
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Steinke F, Schölkopf B und Blanz V (September-2007) Learning Dense 3D Correspondence In: Advances in Neural Information Processing Systems 19, , Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 1313-1320.
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Zhou D, Huang J und Schölkopf B (September-2007) Learning with Hypergraphs: Clustering, Classification, and Embedding In: Advances in Neural Information Processing Systems 19, , Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 1601-1608.
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Gretton A, Borgwardt KM, Rasch M, Schölkopf B und Smola AJ (Juli-2007) A Kernel Approach to Comparing Distributions, Twenty-Second AAAI Conference on Artificial Intelligence (IAAI-07), AAAI Press, Menlo Park, CA, USA, 1637-1641.
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Sun X, Janzing D, Schölkopf B und Fukumizu K (Juni-2007) A Kernel-Based Causal Learning Algorithm, 24th Annual International Conference on Machine Learning (ICML 2007), ACM Press, New York, NY, USA, 855-862.
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Wu M, Yu K, Yu S und Schölkopf B (Juni-2007) Local Learning Projections, 24th Annual International Conference on Machine Learning (ICML 2007), ACM Press, New York, NY, USA, 1039-1046.
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Sun X, Janzing D und Schölkopf B (April-2007) Distinguishing Between Cause and Effect via Kernel-Based Complexity Measures for Conditional Distributions In: Advances in computational intelligence and learning, , 15th European Symposium on Artificial Neural Networks (ESANN 2007), D-Side, Evere, Belgium, 441-446.
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Wu M und Schölkopf B (März-2007) Transductive Classification via Local Learning Regularization, 11th International Conference on Artificial Intelligence and Statistics (AISTATS 2007), International Machine Learning Society, Madison, WI, USA, 628-635, Series: JMLR Workshop and Conference Proceedings ; 2.
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Hill NJ, Lal TN, Schröder M, Hinterberger T, Widmann G, Elger CE, Schölkopf B und Birbaumer N (September-2006) Classifying Event-Related Desynchronization in EEG, ECoG and MEG Signals In: Pattern Recognition, , 28th Annual Symposium of the German Association for Pattern Recognition (DAGM 2006), Springer, Berlin, Germany, 404-413, Series: Lecture Notes in Computer Science ; 54174.
Farquhar J, Hill NJ, Lal TN und Schölkopf B (September-2006) Regularised CSP for Sensor Selection in BCI, 3rd International Brain-Computer Interface Workshop and Training Course 2006, Verlag der Technischen Universität Graz, Graz, Austria, 14-15.
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Hill NJ, Farquhar J, Lal TN und Schölkopf B (September-2006) Time-Dependent Demixing of Task-Relevant EEG Signals, 3rd International Brain-Computer Interface Workshop and Training Course 2006, Verlag der Technischen Universität Graz, Graz, Austria, 20-21.
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Borgwardt KM, Gretton A, Rasch M, Kriegel H-P, Schölkopf B und Smola A (August-2006) Integrating Structured Biological data by Kernel Maximum Mean Discrepancy, 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006), Bioinformatics, 22(14), e49-e57.
Quinonero Candela J, Rasmussen CE, Sinz F, Bousquet O und Schölkopf B (April-2006) Evaluating Predictive Uncertainty Challenge In: Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment, , First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Springer, Berlin, Germany, 1-27, Series: Lecture Notes in Computer Science ; 3944.
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Kienzle W, Wichmann FA, Schölkopf B und Franz MO (April-2006) Learning an Interest Operator from Human Eye Movements, Conference on Computer Vision and Pattern Recognition Workshop (CVPWR 2006), IEEE Computer Society, Los Alamitos, CA, USA, 24.
Steinke F und Schölkopf B (März-2006) Machine learning methods for estimating operator equations, 14th IFAC Symposium on System Identification (SYSID 2006), Pergamon Press, Oxford, UK, IFAC Proceedings Volumes, 39(1), 1192-1197.
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Sun X, Janzing D und Schölkopf B (Januar-2006) Causal Inference by Choosing Graphs with Most Plausible Markov Kernels, Ninth International Symposium on Artificial Intelligence and Mathematics (AI & Math 2006), 1-11.
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Kienzle W und Schölkopf B (November-2005) Training Support Vector Machines with Multiple Equality Constraints In: Machine Learning: ECML 2005, , 16th European Conference on Machine Learning, Springer, Berlin, Germany, 182-193, Series: Lecture Notes in Computer Science ; 3720.
Tsuda K, Shin H und Schölkopf B (Oktober-2005) Fast Protein Classification with Multiple Networks, Fourth European Conference on Computational Biology / Sixth Meeting of the Spanish Bioinformatics Network (ECCB/JBI'05), Bioinformatics, 21(Supplement 2), 59-65.
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Gretton A, Bousquet O, Smola A und Schölkopf B (Oktober-2005) Measuring Statistical Dependence with Hilbert-Schmidt Norms In: Algorithmic Learning Theory, , 16th International Conference on Algorithmic Learning Theory (ALT 2005), Springer, Berlin, Germany, 63-78, Series: Lecture Notes in Computer Science ; 3734.
Steinke F, Schölkopf B und Blanz V (September-2005) Support Vector Machines for 3D Shape Processing, 26th Annual Conference of the European Association for Computer Graphics (EUROGRAPHICS 2005), Computer Graphics Forum, 24(3), 285-294.
Lal TN, Schröder M, Hill J, Preissl H, Hinterberger T, Mellinger J, Bogdan M, Rosenstiel W, Hofmann T, Birbaumer N und Schölkopf B (August-2005) A Brain Computer Interface with Online Feedback based on Magnetoencephalography, 22nd International Conference on Machine Learning (ICML 2005), ACM Press, New York, NY, USA, 465-472.
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Wu M, Schölkopf B und BakIr G (August-2005) Building Sparse Large Margin Classifiers, 22nd International Conference on Machine Learning (ICML 2005), ACM Press, New York, NY, USA, 996-1003.
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Walder C, Chapelle O und Schölkopf B (August-2005) Implicit Surface Modelling as an Eigenvalue Problem, 22nd International Conference on Machine Learning (ICML 2005), ACM Press, New York, NY, USA, 936-939.
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Sonnenburg S, Rätsch G und Schölkopf B (August-2005) Large Scale Genomic Sequence SVM Classifiers, 22nd International Conference on Machine Learning (ICML 2005), ACM Press, New York, NY, USA, 848-855.
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Zhou D, Huang J und Schölkopf B (August-2005) Learning from Labeled and Unlabeled Data on a Directed Graph, 22nd International Conference on Machine Learning (ICML 2005), ACM Press, New York, NY, USA, 1036-1043.
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Schölkopf B, Steinke F und Blanz V (August-2005) Object correspondence as a machine learning problem, 22nd International Conference on Machine Learning (ICML 2005), ACM Press, New York, NY, USA, 776-783.
Zhou D und Schölkopf B (August-2005) Regularization on Discrete Spaces In: Pattern Recognition, , 27th Annual Symposium of the German Association for Pattern Recognition (DAGM 2005), Springer, Berlin, Germany, 361-368, Series: Lecture Notes in Computer Science ; 3663.
Hill NJ, Lal TN, Bierig K, Birbaumer N und Schölkopf B (Juli-2005) An Auditory Paradigm for Brain-Computer Interfaces In: Advances in Neural Information Processing Systems 17, , Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 569-576.
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Kienzle W, BakIr G, Franz M und Schölkopf B (Juli-2005) Face Detection: Efficient and Rank Deficient In: Advances in Neural Information Processing Systems 17, , Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 673-680.
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Franz MO und Schölkopf B (Juli-2005) Implicit Wiener series for higher-order image analysis In: Advances in Neural Information Processing Systems 17, , Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 465-472.
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Schölkopf B, Giesen J und Spalinger S (Juli-2005) Kernel Methods for Implicit Surface Modeling In: Advances in Neural Information Processing Systems 17, , Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 1193-1200.
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Wichmann FA, Graf ABA, Simoncelli EP, Bülthoff HH und Schölkopf B (Juli-2005) Machine Learning Applied to Perception: Decision-Images for Classification In: Advances in Neural Information Processing Systems 17, , Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 1489-1496.
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Lal TN, Hinterberger T, Widman G, Schröder M, Hill J, Rosenstiel W, Elger CE, Schölkopf B und Birbaumer N (Juli-2005) Methods Towards Invasive Human Brain Computer Interfaces In: Advances in Neural Information Processing Systems 17, , Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 737-744.
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Zhou D, Schölkopf B und Hofmann T (Juli-2005) Semi-supervised Learning on Directed Graphs In: Advances in Neural Information Processing Systems 17, , Eighteenth Annual Conference on Neural Information Processing Systems (NIPS 2004), MIT Press, Cambridge, MA, USA, 1633-1640.
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Weston J, Schölkopf B und Bousquet O (Juni-2005) Joint Kernel Maps In: Computational Intelligence and Bioinspired Systems, , 8th International Work-Conference on Artificial Neural Networks (IWANN 2005), Springer, Berlin, Germany, 176-191, Series: Lecture Notes in Computer Science ; 3512.
Jung T, Herrera L und Schölkopf B (Juni-2005) Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach In: Computational Intelligence and Bioinspired Systems, , 8th International Work-Conference on Artificial Neural Networks (IWANN 2005), Springer, Berlin, Germany, 960-967, Series: Lecture Notes in Computer Science ; 3512.
Rätsch G, Sonnenburg S und Schölkopf B (Juni-2005) RASE: recognition of alternatively spliced exons in C.elegans, Thirteenth International Conference on Intelligent Systems for Molecular Biology (ISBM 2005), Bioinformatics, 21(Supplement 1), i369-i377.
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Gretton A, Smola AJ, Bousquet O, Herbrich R, Belitski A, Augath M, Murayama Y, Pauls J, Schölkopf B und Logothetis NK (Januar-2005) Kernel Constrained Covariance for Dependence Measurement, Tenth International Workshop on Artificial Intelligence and Statistics (AISTATS 2005), Society for Artificial Intelligence and Statistics, Fort Lauderdale, FL, USA, 112-119.
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Hill J, Lal TN, Bierig K, Birbaumer N und Schölkopf B (Dezember-2004) Attentional Modulation of Auditory Event-Related Potentials in a Brain-Computer Interface, IEEE International Workshop on Biomedical Circuits and Systems (BioCAS 2004), IEEE Operations Center, Piscataway, NJ, USA, 1-4.
Franz MO und Schölkopf B (Oktober-2004) Implicit estimation of Wiener series In: Machine Learning for Signal Processing XIV, , 14th IEEE Signal Processing Society Workshop (MLSP 2004), IEEE Operations Center, Piscataway, NJ, USA, 735-744.
Kienzle W, BakIr G, Franz M und Schölkopf B (September-2004) Efficient Approximations for Support Vector Machines in Object Detection In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 54-61, Series: Lecture Notes in Computer Science ; 3175.
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Zhou D und Schölkopf B (September-2004) Learning from Labeled and Unlabeled Data Using Random Walks In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 237-244, Series: Lecture Notes in Computer Science ; 3175.
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BakIr G, Gretton A, Franz M und Schölkopf B (September-2004) Multivariate Regression via Stiefel Manifold Constraints In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 262-269, Series: Lecture Notes in Computer Science ; 3175.
Franz MO, Kwon Y, Rasmussen CE und Schölkopf B (September-2004) Semi-supervised Kernel Regression Using Whitened Function Classes In: Pattern Recognition, , 26th Annual Symposium of the German Association for Pattern Recognition (DAGM 2004), Springer, Berlin, Germany, 18-26, Series: Lecture Notes in Computer Science ; 3175.
Ham J, Lee DD, Mika S und Schölkopf B (Juli-2004) A kernel view of the dimensionality reduction of manifolds, Twenty-first International Conference on Machine Learning (ICML 2004), ACM Press, New York, NY, USA, 369-376.
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Zhou D und Schölkopf B (Juli-2004) A Regularization Framework for Learning from Graph Data, ICML 2004 Workshop on Statistical Relational Learning and Its Connections to Other Fields (SRL 2004), 132-137.
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Bakir GH, Weston J und Schölkopf B (Juni-2004) Learning to Find Pre-Images In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 449-456.
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Zhou D, Bousquet O, Lal TN, Weston J und Schölkopf B (Juni-2004) Learning with Local and Global Consistency In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 321-328.
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Eichhorn J, Tolias AS, Zien A, Kuss M, Rasmussen CE, Weston J, Logothetis NK und Schölkopf B (Juni-2004) Prediction on Spike Data Using Kernel Algorithms In: Advances in Neural Information Processing Systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 1367-1374.
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Zhou D, Weston J, Gretton A, Bousquet O und Schölkopf B (Juni-2004) Ranking on Data Manifolds In: Advances in neural information processing systems 16, , Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 169-176.
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Last updated: Montag, 22.05.2017