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):

Daniusis P, Janzing D, Mooij J, Zscheischler J, Steudel B, Zhang K und Schölkopf B (Juli-2010) Inferring deterministic causal relations, 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), AUAI Press, Corvallis, OR, USA, 143-150.
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Zhang K, Schölkopf B und Janzing D (Juli-2010) Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery, 26th Conference on Uncertainty in Artificial Intelligence (UAI 2010), AUAI Press, Corvallis, OR, USA, 717-724.
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Steudel B, Janzing D und Schölkopf B (Juni-2010) Causal Markov condition for submodular information measures, 23rd Annual Conference on Learning Theory (COLT 2010), Omnipress, Madison, WI, USA, 464-476.
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Hirsch M, Sra S, Schölkopf B und Harmeling S (Juni-2010) Efficient Filter Flow for Space-Variant Multiframe Blind Deconvolution, Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), IEEE, Piscataway, NJ, USA, 607-614.
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Sriperumbudur BK, Fukumizu K, Gretton A, Schölkopf B und Lanckriet GRG (Juni-2010) Non-parametric estimation of integral probability metrics, IEEE International Symposium on Information Theory (ISIT 2010), IEEE, Piscataway, NJ, USA, 1428-1432.
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Janzing D, Hoyer P und Schölkopf B (Juni-2010) Telling cause from effect based on high-dimensional observations, 27th International Conference on Machine Learning (ICML 2010), Curran, Red Hook, NY, USA, 479-486.
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Schwamberger V, Le PHD, Schölkopf B und Franz MO (Juni-2010) The Influence of the Image Basis on Modeling and Steganalysis Performance In: Information Hiding, , 12th international Workshop (IH 2010), Springer, Berlin, Germany, 133-144, Series: Lecture Notes in Computer Science ; 6387.
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Peters J, Janzing D und Schölkopf B (Mai-2010) Identifying Cause and Effect on Discrete Data using Additive Noise Models, Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), International Machine Learning Society, Madison, WI, USA, 597-604, Series: JMLR Workshop and Conference Proceedings ; 9.
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Kober J, Mülling K, Krömer O, Lampert CH, Schölkopf B und Peters J (Mai-2010) Movement Templates for Learning of Hitting and Batting, 2010 IEEE International Conference on Robotics and Automation (ICRA 2010), IEEE, Piscataway, NJ, USA, 853-858.
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Hirsch M, Schölkopf B und Habeck M (April-2010) A New Algorithm for Improving the Resolution of Cryo-EM Density Maps In: Research in Computational Molecular Biology, , 14th International Conference on Research in Computational Molecular Biology (RECOMB 2010), Springer, Berlin, Germany, 174-188, Series: Lecture Notes in Computer Science ; 6044.
Sriperumbudur BK, Fukumizu K, Gretton A, Lanckriet GRG und Schölkopf B (April-2010) Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions In: Advances in Neural Information Processing Systems 22, , 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 1750-1758.
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Peters J, Janzing D, Gretton A und Schölkopf B (2010) Kernel Methods for Detecting the Direction of Time Series In: Advances in Data Analysis, Data Handling and Business Intelligence, , 32nd Annual Conference of the Gesellschaft für Klassifikation e.V. (GfKl 2008), Springer, Berlin, Germany, 57-66, Series: Studies in Classification, Data Analysis, and Knowledge Organization.
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Sra S, Kim D, Dhillon I und Schölkopf B (Oktober-2009) A new non-monotonic algorithm for PET image reconstruction In: Nuclear Science Symposium Conference Record, , IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS-MIC 2009), IEEE, Piscataway, NJ, USA, 2500-2502.
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Nguyen-Tuong D, Schölkopf B und Peters J (Oktober-2009) Sparse online model learning for robot control with support vector regression, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009), IEEE Service Center, Piscataway, NJ, USA, 3121-3126.
Jegelka S, Gretton A, Schölkopf B, Sriperumbudur BK und von Luxburg U (September-2009) Generalized Clustering via Kernel Embeddings In: KI 2009: Advances in Artificial Intelligence, , 32nd Annual Conference on Artificial Intelligence (KI), Springer, Berlin, Germany, 144-152, Series: Lecture Notes in Computer Science ; 5803.
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Barbero Jimenez A, Franz MO, Drongelen WV, Dorronsoro JR, Schölkopf B und Grosse-Wentrup M (September-2009) Implicit Wiener Series Analysis of Epileptic Seizure Recordings, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2009), IEEE Service Center, Piscataway, NJ, USA, 5304-5307.
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Hofmann M, Schölkopf B, Bezrukov I und Cahill ND (September-2009) Incorporating Prior Knowledge on Class Probabilities into Local Similarity Measures for Intermodality Image Registration, MICCAI 2009 Workshop on Probabilistic Models for Medical Image Analysis (PMMIA 2009), 220-231.
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Walder C, Breidt M, Bülthoff HH, Schölkopf B und Curio C (September-2009) Markerless 3D Face Tracking (DAGM 2009) In: Pattern Recognition, , 31. Symposium of the German Association for Pattern Recognition (DAGM 2009), Springer, Berlin, Germany, 41-50, Series: Lecture Notes in Computer Science ; 5748.
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Schweikert G, Widmer C, Schölkopf B und Rätsch G (Juni-2009) An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis In: Advances in neural information processing systems 21, , Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 1433-1440.
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Seeger MW, Nickisch H, Pohmann R und Schölkopf B (Juni-2009) Bayesian Experimental Design of Magnetic Resonance Imaging Sequences In: Advances in neural information processing systems 21, , Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 1441-1448.
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Fukumizu K, Sriperumbudur BK, Gretton A und Schölkopf B (Juni-2009) Characteristic Kernels on Groups and Semigroups In: Advances in neural information processing systems 21, , Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 473-480.
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Peters J, Janzing D, Gretton A und Schölkopf B (Juni-2009) Detecting the Direction of Causal Time Series, 26th International Conference on Machine Learning (ICML 2009), ACM Press, New York, NY, USA, 801-808.
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Walder C und Schölkopf B (Juni-2009) Diffeomorphic Dimensionality Reduction In: Advances in neural information processing systems 21, , Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 1713-1720.
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Hill J, Farquhar J, Martens SMM, Biessmann F und Schölkopf B (Juni-2009) Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance In: Advances in neural information processing systems 21, , Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 665-672.
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Janzing D, Peters J, Mooij JM und Schölkopf B (Juni-2009) Identifying confounders using additive noise models, 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), AUAI Press, Corvallis, OR, USA, 249-257.
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Lee D, Hofmann M, Steinke F, Altun Y, Cahill ND und Schölkopf B (Juni-2009) Learning the Similarity Measure for Multi-Modal 3D Image Registration, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), IEEE Service Center, Piscataway, NJ, USA, 186-193.
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Georgii E, Tsuda K und Schölkopf B (Juni-2009) Multi-way set enumeration in real-valued tensors, KDD 2009 Workshop on Data Mining using Matrices and Tensors (DMMT '09), ACM Press, New York, NY, USA, 32-41.
Hoyer PO, Janzing D, Mooij JM, Peters J und Schölkopf B (Juni-2009) Nonlinear causal discovery with additive noise models In: Advances in neural information processing systems 21, , Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 689-696.
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Mooij JM, Janzing D, Peters J und Schölkopf B (Juni-2009) Regression by dependence minimization and its application to causal inference in additive noise models, 26th International Conference on Machine Learning (ICML 2009), ACM Press, New York, NY, USA, 745-752.
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Gomez Rodriguez M, Kober J und Schölkopf B (April-2009) Denoising photographs using dark frames optimized by quadratic programming, First IEEE International Conference Computational Photography (ICCP 2009), IEEE, Piscataway, NJ, USA, 1-9.
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Harmeling S, Hirsch M, Sra S und Schölkopf B (April-2009) Online blind deconvolution for astronomical imaging, First IEEE International Conference Computational Photography (ICCP 2009), IEEE, Piscataway, NJ, USA, 1-7.
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Guyon I, Janzing D und Schölkopf B (Dezember-2008) Causality: Objectives and Assessment, Workshop on Causality: Objectives and Assessment at NIPS 2008 (COA '08), International Machine Learning Society, Madison, WI, USA, 1-38, Series: JMLR Workshop and Conference Proceedings ; 6.
Charpiat G, Hofmann M und Schölkopf B (Oktober-2008) Automatic Image Colorization Via Multimodal Predictions In: Computer Vision – ECCV 2008, , 10th European Conference on Computer Vision (ECCV 2008), Springer, Berlin, Germany, 126-139, Series: Lecture Notes in Computer Science ; 5304.
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Gretton A, Fukumizu K, Teo CH, Song L, Schölkopf B und Smola AJ (September-2008) A Kernel Statistical Test of Independence In: Advances in neural information processing systems 20, , Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 585-592.
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Sinz FH, Chapelle O, Agarwal A und Schölkopf B (September-2008) An Analysis of Inference with the Universum In: Advances in neural information processing systems 20, , Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 1369-1376.
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Breuer P, Kim KI, Kienzle W, Schölkopf B und Blanz V (September-2008) Automatic 3D Face Reconstruction from Single Images or Video, 8th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2008), IEEE Computer Society, Los Alamitos, CA, USA, 1-8.
Fukumizu K, Gretton A, Sun X und Schölkopf B (September-2008) Kernel Measures of Conditional Dependence In: Advances in neural information processing systems 20, , Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 489-496.
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Schölkopf B, Sriperumbudur BK, Gretton A und Fukumizu K (August-2008) RKHS Representation of Measures Applied to Homogeneity, Independence, and Fourier Optics, 30. Oberwolfach Report (OWR 2008), Mathematisches Forschungsinstitut, Oberwolfach-Walke, Germany, 42-44.
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Sriperumbudur BK, Gretton A, Fukumizu K, Lanckriet G und Schölkopf B (Juli-2008) Injective Hilbert Space Embeddings of Probability Measures, 21st Annual Conference on Learning Theory (COLT 2008), Omnipress, Madison, WI, USA, 111-122.
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Walder C, Kim KI und Schölkopf B (Juli-2008) Sparse Multiscale Gaussian Process Regression, 25th International Conference on Machine Learning (ICML 2008), ACM Press, New York, NY, USA, 1112-1119.
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Song L, Zhang X, Smola A, Gretton A und Schölkopf B (Juli-2008) Tailoring density estimation via reproducing kernel moment matching, 25th International Conference on Machine Learning (ICML 2008), ACM Press, New York, NY, USA, 992-999.
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Nguyen-Tuong D, Peters J, Seeger M und Schölkopf B (April-2008) Learning Inverse Dynamics: A Comparison In: Advances in computational intelligence and learning, , 16th European Symposium on Artificial Neural Networks (ESANN 2008), D-Side, Evere, Belgium, 13-18.
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Smola A, Gretton A, Song L und Schölkopf B (Oktober-2007) A Hilbert Space Embedding for Distributions In: Algorithmic Learning Theory, , 18th International Conference on Algorithmic Learning Theory (ALT 2007), Springer, Berlin, Germany, 13-31, Series: Lecture Notes in Computer Science ; 4754.
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Smola AJ, Gretton A, Song L und Schölkopf B (Oktober-2007) A Hilbert Space Embedding for Distributions In: Discovery Science, , 10th International Conference on Discovery Science (DS 2007), Springer, Berlin, Germany, 40-41, Series: Lecture Notes in Computer Science ; 4755.
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Peters J, Schaal S und Schölkopf B (Oktober-2007) Towards Machine Learning of Motor Skills, 20. Fachgespräch Autonome Mobile Systeme (AMS 2007), Springer, Berlin, Germany, 138-144, Series: Informatik aktuell.
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Gretton A, Borgwardt KM, Rasch M, Schölkopf B und Smola A (September-2007) A Kernel Method for the Two-Sample-Problem In: Advances in Neural Information Processing Systems 19, , Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 513-520.
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Wu M und Schölkopf B (September-2007) A Local Learning Approach for Clustering In: Advances in Neural Information Processing Systems 19, , Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 1529-1536.
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Kienzle W, Wichmann FA, Schölkopf B und Franz MO (September-2007) A Nonparametric Approach to Bottom-Up Visual Saliency In: Advances in Neural Information Processing Systems 19, , Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 689-696.
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Huang J, Smola A, Gretton A, Borgwardt KM und Schölkopf B (September-2007) Correcting Sample Selection Bias by Unlabeled Data In: Advances in Neural Information Processing Systems 19, , Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 601-608.
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Kienzle W, Schölkopf B, Wichmann F und Franz MO (September-2007) How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye movements In: Pattern Recognition, , 29th Annual Symposium of the German Association for Pattern Recognition (DAGM 2007), Springer, Berlin, Germany, 405-414, Series: Lecture Notes in Computer Science ; 4713.
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Last updated: Montag, 22.05.2017