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Prof. Dr. Bernhard Schölkopf

Address: Spemannstr. 38
72076 Tübingen
Room number: 211
Phone: +49 7071 601 551
Fax: +49 7071 601 552
E-Mail: bernhard.schoelkopf
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Picture of Schölkopf, Bernhard, Prof. Dr.

Bernhard Schölkopf

Position: Director  Unit: Schölkopf

My scientific interests are in the field of inference from empirical data, in particular machine learning and perception ( Department of Empirical Inference). In particular, I study kernel methods for extracting regularities from possibly 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.

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.

 

If you'd like to contact me, please consider these two notes:

1. I just became co-editor-in-chief of JMLR. I work for JMLR because I believe in its open access model, but it takes a lot of time. During my JMLR term, please don't convince me to do other journal or grant reviewing duties.

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

  • M.Sc. in mathematics and Lionel Cooper Memorial Prize, University of London (1992)
  • Diplom in physics (Tübingen, 1994)
  • doctorate in computer science from the Technical University Berlin (1997); thesis on Support Vector Learning (main advisor: V. Vapnik, AT&T Bell Labs) won the annual dissertation prize of the German Association for Computer Science (GI)
  • scientific member of the Max Planck Society, 2001
  • awards won by his lab
  • J. K. Aggarwal Prize of the International Association for Pattern Recognition, 2006
  • Max Planck Research Award, 2011
  • Academy Prize 2012 of the Berlin-Brandenburg Academy of Sciences and Humanities
  • Honorarprofessor at the Technical University Berlin (computer science) and at the Eberhard-Karls University Tübingen (physics)
  • "highly cited" (added in 2010)
  • co-editor-in-chief of JMLR
  • member of the boards of the NIPS foundation and of the International Machine Learning Society
  • PC member (e.g., NIPS, COLT, ICML, UAI, DAGM, CVPR, Snowbird Learning Workshop) and  co-chair of various conferences (COLT'03, DAGM'04, NIPS'05, NIPS'06 and the first two kernel workshops).
  • co-founder of the Machine Learning Summer Schools
  • two-page CV: PDF.

 

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Books (8):

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Lu HH-S , Schölkopf B Person and Zhao H : Handbook of Statistical Bioinformatics, 627, Springer, Berlin, Germany, (2011). ISBN: 978-3-642-16344-9
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Bakir GH Person, Hofmann T Person, Schölkopf B Person, Smola AJ , Taskar B and Vishwanathan SVN : Predicting Structured Data, 360 pages, MIT Press, Cambridge, MA, USA, (2007).
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Chapelle O Person, Schölkopf B Person and Zien A Person: Semi-Supervised Learning, 508 pages, MIT Press, Cambridge, MA, USA, (2006).
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Schölkopf B Person, Tsuda K Person and Vert J-P : Kernel Methods in Computational Biology, 410 pages, MIT Press, Cambridge, MA, USA, (2004).
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Schölkopf B Person and Smola AJ : Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond, 644 pages, MIT Press, Cambridge, MA, USA, (2002).
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Smola AJ , Bartlett PJ , Schölkopf B Person and Schuurmans D : Advances in Large Margin Classifiers, 422 pages, MIT Press, Cambridge, MA, USA, (2000).
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Schölkopf B Person, Burges CJC and Smola AJ : Advances in Kernel Methods - Support Vector Learning, MIT Press, Cambridge, MA, (1999).
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Schölkopf B Person: Support vector learning, 173 pages, Oldenbourg, München, Germany, (1997). ISBN: 3-486-24632-1
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Proceedings (6):

• Guyon I , Janzing D Person and Schölkopf B Person: JMLR Workshop and Conference Proceedings: Volume 6, Causality: Objectives and Assessment (NIPS 2008 Workshop), 288, MIT Press, Cambridge, MA, USA, (2010).

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• Schölkopf B Person, Platt J and Hofmann T Person: Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference, 20th Annual Conference on Neural Information Processing Systems (NIPS 2006), 1690 pages, MIT Press, Cambridge, MA, USA, (2007).

0-262-19568-2
• Weiss Y , Schölkopf B Person and Platt J : Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference, 19th Annual Conference on Neural Information Processing Systems (NIPS 2005), 1676 pages, MIT Press, Cambridge, MA, USA, (2006).

0-262-23253-7
• Rasmussen CE Person, Bülthoff HH Person, Giese MA Person and Schölkopf B Person: Pattern Recognition: 26th DAGM Symposium, LNCS, Vol. 3175, 26th Pattern Recognition Symposium, 581 pages, Springer, Berlin, Germany, (2004).

978-3-540-22945-2
• Thrun S , Saul LK and Schölkopf B Person: Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference, 17th Annual Conference on Neural Information Processing Systems (NIPS 2003), 1621 pages, MIT Press, Cambridge, MA, USA, (2004).

0-262-20152-6
• Schölkopf B Person and Warmuth MK : Learning Theory and Kernel Machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop (COLT/Kernel 2003), LNCS Vol. 2777, 16th Annual Conference on Learning Theory and 7th Kernel Workshop, 746 pages, Springer, Berlin, Germany, (2003).

978-3-540-40720-1

Articles (109):

• Schultz T Person, Schlaffke L , Schölkopf B Person and Schmidt-Wilcke T (2013) HiFiVE: A Hilbert Space Embedding of Fiber Variability Estimates for Uncertainty Modeling and Visualization Computer Graphics Forum 32(3).
• Bezrukov I Person, Schmidt H , Mantlik F Person, Schwenzer N , Brendle C , Schölkopf B Person and Pichler BJ (2013) MR-based Attenuation Correction Methods for Improved PET Quantification in Lesions within Bone and Susceptibility Artifact Regions Journal of Nuclear Medicine . accepted
• Lopez-Paz D Person and Schölkopf B Person (2013) The Randomized Dependence Coefficient . submitted
• Loktyushin A Person, Nickisch H Person, Pohmann R Person and Schölkopf B Person (2013) Blind Retrospective Motion Correction of MR Images Magnetic Resonance in Medicine (MRM) . in press
• Kam-Thong T Person, Azencott C-A Person, Cayton L Person, Pütz B , Altmann A , Karbalai N , Sämann PG , Schölkopf B Person, Müller-Myhsok B and Borgwardt KM Person (2012) GLIDE: GPU-Based Linear Regression for Detection of Epistasis Human Heredity 73(4) 220-236.
• Grosse-Wentrup M Person and Schölkopf B Person (2012) High gamma-power predicts performance in sensorimotor-rhythm brain-computer interfaces Journal of Neural Engineering 9(4) 8 pages.
• Janzing D Person, Mooij J Person, Zhang K Person, Lemeire J , Zscheischler J Person, Daniušis P Person, Steudel B Person and Schölkopf B Person (2012) Information-geometric approach to inferring causal directions Artificial Intelligence 182-183 1-31.
• Gretton A Person, Borgwardt K Person, Rasch M Person, Schölkopf B Person and Smola A Person (2012) A Kernel Two-Sample Test Journal of Machine Learning Research 13 723−773.
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• Hill NJ Person and Schölkopf B Person (2012) An online brain–computer interface based on shifting attention to concurrent streams of auditory stimuli Journal of Neural Engineering 9(2) 13 pages.
• Bezrukov I Person, Mantlik F Person, Schmidt H , Schölkopf B Person and Pichler BJ (2012) MR-based PET Attenuation Correction for PET/MR Imaging Seminars in Nuclear Medicine 43(1) 45-59.
• Sriperumbudur B Person, Fukumizu K Person, Gretton A Person, Schölkopf B Person and Lanckriet G (2012) On the Empirical Estimation of Integral Probability Metrics Electronic Journal of Statistics 6 1550-1599.
• Wang Z Person, Mülling K Person, Deisenroth M Person, Ben Amor H , Vogt D , Schölkopf B Person and Peters J Person (2012) Probabilistic movement modeling for intention inference in human-robot interaction International Journal of Robotics Research . accepted
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• Janzing D Person, Balduzzi D Person, Grosse-Wentrup M Person and Schölkopf B Person (2012) Quantifying causal influences Annals of Statistics . submitted
• Peters J Person, Janzing D Person and Schölkopf B Person (2011) Causal Inference on Discrete Data using Additive Noise Models IEEE Transactions on Pattern Analysis and Machine Intelligence 33(12) 2436-2450.
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• Kitching T , Amara A , Gill M , Harmeling S Person, Heymans C , Massey R , Rowe B , Schrabback T , Voigt L , Balan S , Bernstein G , Bethge M Person, Bridle S , Courbin F , Gentile M , Heavens A , Hirsch M Person, Hosseini R Person, Kiessling A , Kirk D , Kuijken K , Mandelbaum R , Moghaddam B , Nurbaeva G , Paulin-Henriksson S , Rassat A , Rhodes J , Schölkopf B Person, Shawe-Taylor J , Shmakova M , Taylor A , Velander M , van Waerbeke L , Witherick D and Wittman D (2011) Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook Annals of Applied Statistics 5(3) 2231-2263.
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• Hofmann M Person, Bezrukov I Person, Mantlik F Person, Aschoff P , Steinke F Person, Beyer T , Pichler BJ and Schölkopf B Person (2011) MRI-Based Attenuation Correction for Whole-Body PET/MRI: Quantitative Evaluation of Segmentation- and Atlas-Based Methods Journal of Nuclear Medicine 52(9) 1392-1399.
• Schölkopf B Person (2011) Empirical Inference International Journal of Materials Research 2011(7) 809-814.
• Hirsch M Person, Harmeling S Person, Sra S Person and Schölkopf B Person (2011) Online Multi-frame Blind Deconvolution with Super-resolution and Saturation Correction Astronomy & Astrophysics 531(A9) 11 pages.
• Gomez Rodriguez M Person, Peters J Person, Hill J Person, Schölkopf B Person, Gharabaghi A and Grosse-Wentrup M Person (2011) Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery Journal of Neural Engineering 8(3) 1-12.
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• Grosse-Wentrup M Person, Schölkopf B Person and Hill J Person (2011) Causal Influence of Gamma Oscillations on the Sensorimotor Rhythm NeuroImage 56(2) 837-842.
• Mantlik F Person, Hofmann M Person, Werner MK , Sauter A , Kupferschläger J , Schölkopf B Person, Pichler BJ and Beyer T (2011) The effect of patient positioning aids on PET quantification in PET/MR imaging European Journal of Nuclear Medicine and Molecular Imaging 38(5) 920-929.
• Ramos Murguialday A , Hill J Person, Bensch M , Martens S Person, Halder S Person, Nijboer F , Schölkopf B Person, Birbaumer N and Gharabaghi A (2011) Transition from the locked in to the completely locked-in state: A physiological analysis Clinical Neurophysiology 122(5) 925-933.
• Kam-Thong T , Czamara D , Tsuda K Person, Borgwardt K Person, Lewis CM , Erhardt-Lehmann A , Hemmer B , Rieckmann P , Daake M , Weber F , Wolf C , Ziegler A , Pütz B , Holsboer F , Schölkopf B Person and Müller-Myhsok B (2011) EPIBLASTER-fast exhaustive two-locus epistasis detection strategy using graphical processing units European Journal of Human Genetics 19(4) 465-471.
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• Hirsch M Person, Schölkopf B Person and Habeck M Person (2011) A Blind Deconvolution Approach for Improving the Resolution of Cryo-EM Density Maps Journal of Computational Biology 18(3) 335-346.
• Georgii E Person, Tsuda K Person and Schölkopf B Person (2011) Multi-way set enumeration in weight tensors Machine Learning 82(2) 123-155.
• Martens SMM Person, Mooij JM Person, Hill NJ Person, Farquhar J Person and Schölkopf B Person (2011) A graphical model framework for decoding in the visual ERP-based BCI speller Neural Computation 23(1) 160-182.
• Besserve M Person, Schölkopf B Person, Logothetis NK Person and Panzeri S Person (2010) Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis Journal of Computational Neuroscience 29(3) 547-566.
• Janzing D Person and Schölkopf B Person (2010) Causal Inference Using the Algorithmic Markov Condition IEEE Transactions on Information Theory 56(10) 5168-5194.
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• Steinke F Person, Hein M Person and Schölkopf B Person (2010) Nonparametric Regression between General Riemannian Manifolds SIAM Journal on Imaging Sciences 3(3) 527-563.
• Camps-Valls G Person, Mooij JM Person and Schölkopf B Person (2010) Remote Sensing Feature Selection by Kernel Dependence Estimation IEEE Geoscience and Remote Sensing Letters 7(3) 587-591.
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• Bridle S , Balan ST , Bethge M Person, Gentile M , Harmeling S Person, Heymans C , Hirsch M Person, Hosseini R Person, Jarvis M , Kirk D , Kitching T , Kuijken K , Lewis A , Paulin-Henriksson S , Schölkopf B Person, Velander M , Voigt L , Witherick D , Amara A , Bernstein G , Courbin F , Gill M , Heavens A , Mandelbaum R , Massey R , Moghaddam B , Rassat A , Refregier A , Rhodes J , Schrabback T , Shawe-Taylor J , Shmakova M , van Waerbeke L and Wittman D (2010) Results of the GREAT08 Challenge: An image analysis competition for cosmological lensing Monthly Notices of the Royal Astronomical Society 405(3) 2044-2061.
• Sriperumbudur BK Person, Gretton A Person, Fukumizu K Person, Schölkopf B Person and Lanckriet GRG (2010) Hilbert Space Embeddings and Metrics on Probability Measures Journal of Machine Learning Research 11 1517-1561.
• Seeger M Person, Nickisch H Person, Pohmann R Person and Schölkopf B Person (2010) Optimization of k-Space Trajectories for Compressed Sensing by Bayesian Experimental Design Magnetic Resonance in Medicine 63(1) 116-126.
• Jäkel F Person, Schölkopf B Person and Wichmann FA Person (2009) Does Cognitive Science Need Kernels? Trends in Cognitive Sciences 13(9) 381-388.
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• Corfield D Person, Schölkopf B Person and Vapnik V Person (2009) Falsificationism and Statistical Learning Theory: Comparing the Popper and Vapnik-Chervonenkis Dimensions Journal for General Philosophy of Science 40(1) 51-58.
• Kienzle W Person, Franz MO Person, Schölkopf B Person and Wichmann FA Person (2009) Center-surround patterns emerge as optimal predictors for human saccade targets Journal of Vision 9(5:7) 1-15.
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