Bernhard Schölkopf

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Bernhard Schölkopf (born February 20, 1968 in Stuttgart ) is a German computer scientist .

Life and professional history

Schölkopf studied physics, mathematics and philosophy at the University of Tübingen and the University of London with a master's degree in mathematics in London in 1992 and a physics diploma at the University of Tübingen in 1994. He studied computer science at the TU Berlin in 1997 with Stefan Jähnichen and Vladimir Vapnik (ATT Bell Labs) is doing his PhD (Dissertation: Support Vector Learning). As a post-doctoral student he was at GMD and in 1999/2000 at Microsoft Research in Cambridge. In 2000/2001 he was group leader at the newly founded biotech company Biowulf and from 2001 director at the Max Planck Institute for Biological Cybernetics in Tübingen, where he was managing director from 2006 to 2009. From 2011 he is director at the newly founded Max Planck Institute for Intelligent Systems in Tübingen and managing director. There he heads the Empirical Inference Department.

He is honorary professor at the TU Berlin and the University of Tübingen.

Schölkopf deals with machine learning and especially kernel methods, which he also applies in algorithmic biology.

He has been a scientific member of the Max Planck Society since 2001 . On March 23, 2016, Bernhard Schölkopf was elected a member ( matriculation number 7680 ) of the Leopoldina . Schölkopf has been a Fellow of the Association for Computing Machinery (ACM) since 2017 .

Since 2016, Schölkopf has initiated the so-called Cyber ​​Valley in Tübingen: a network of the universities of Tübingen and Stuttgart with companies such as Daimler , BMW , Porsche , Amazon and others. The AI ​​researcher Bernhard Schölkopf is working with universities and companies to promote and conduct cutting-edge research that is close to the application in order to keep young scientists in Europe.

Awards

In 2006 he received the JK Aggarwal Prize of the International Association for Pattern Recognition , in 2011 the Max Planck Research Prize , in 2012 the Academy Prize of the Berlin-Brandenburg Academy of Sciences and Humanities and in 2014 the Royal Society Milner Award . For 2018, Schölkopf was awarded the most important German science prize, the Gottfried Wilhelm Leibniz Prize , and the State Research Prize Baden-Württemberg , and for 2019 the Hector Science Prize . In 2019 he also received the Körber European Science Prize . Also for 2019 he was awarded the BBVA Foundation Frontiers of Knowledge Award in the field of computer science.

Fonts (selection)

Books

  • Support Vector Learning, Oldenbourg 1997
  • with Alexander Smola: Learning with Kernels: support vector machines, regularization, optimization, and beyond. MIT Press, 2002
  • with K. Tsuda, J.-P. Vert: Kernel methods in computational biology, MIT Press 2004
  • with Olivier Chapelle, Alexander Zien: Semi-supervised learning, MIT Press 2006, 2010
  • with Jonas Peters, Dominik Janzing: Elements of Causal Inference: Foundations and Learning Algorithms, MIT Press 2017
  • with Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur: Kernel Mean Embedding of Distributions: A Review and Beyond, 2017

As editor

  • with Christopher Burges, Alexander Smola: Advances in kernel methods: support vector learning, MIT Press 1999
  • Kernel methods in computational biology, MIT Press 2004

Essays

  • with A. Smola, KR Müller: Nonlinear component analysis as a kernel eigenvalue problem, Neural Computation, Volume 10, 1998, pp. 1299-1319
  • with KR Müller , S. MIka, G. Ratsch, K. Tsuda: An introduction to kernel-based learning algorithms, IEEE Transactions on Neural Networks, Volume 12, 2001, pp. 181-201
  • with JC Platt, J. Shawe-Taylor, AJ Smola, RC Williamson: Estimating the support of a high-dimensional distribution, Neural computation, Volume 13, 2001, pp. 1443-1471
  • with AJ Smola: A Tutorial on Support Vector Regression, Statistics and Computing, Volume 14, 2004, pp. 199–222
  • with A. Smola: Support Vector Machines, in: Encyclopedia of Biostatistics, Wiley 2005
  • with S. Sonnenburg, G. Rätsch, C. Schäfer: Large scale multiple kernel learning, Journal of Machine Learning Research, Volume 7, 2006, pp. 1531-1565
  • with Thomas Hofmann, Alexander J Smola: Kernel methods in machine learning, Annals of Statistics, Volume 36, 2008, pp. 1171-1220 PDF.

literature

  • Leopoldina Newly Elected Members 2016, Leopoldina, Halle (Saale) 2017, p. 43 ( PDF ).
  • Philipp Mausshardt: And? What are you doing? In: Die Zeit 13, March 22, 2018, p. 39 (on the awarding of the Leibniz Prize 2018 to Bernhard Schölkopf).

Web links

  • Bernhard Schölkopf on the website of the Max Planck Institute for Intelligent Systems (English)

Individual evidence

  1. ↑ Bernhard Schölkopf in the Mathematics Genealogy Project (English)Template: MathGenealogyProject / Maintenance / id used
  2. ↑ Member entry by Bernhard Schölkopf (with picture and CV) at the German Academy of Natural Scientists Leopoldina , accessed on July 16, 2017.
  3. ↑ Bernhard Schölkopf elected ACM Fellow (2017). Max Planck Institute for Intelligent Systems, December 11, 2017, accessed on September 12, 2019 .
  4. ↑ Stefan Mayr: The computer whisperer. Retrieved December 7, 2019 .
  5. ↑ Prof. Dr. Bernhard Schölkopf - Gottfried Wilhelm Leibniz Prize Winner 2018. Deutsche Forschungsgemeinschaft e. V., February 26, 2018, accessed on September 12, 2019 .
  6. ^ Bernhard Schölkopf - 2019 Körber Prize Winner. Körber Foundation, Hamburg, accessed on November 9, 2019 .
  7. ↑ BBVA Foundation Frontiers of Knowledge Awards 2019
personal data
SURNAME Schölkopf, Bernhard
BRIEF DESCRIPTION German computer scientist
DATE OF BIRTH 20th February 1968
PLACE OF BIRTH Stuttgart