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Bernhard Schölkopf

Computing Methodologies

Bernhard Scholkopf (born February 20, 1968) is a German computer scientist known for his work in machine learning, especially kernel methods and causality. He is a director at the Max Planck Institute for Intelligent Systems in Tubingen, Germany, where he heads the Department of Empirical Inference. He is also an affiliated professor at ETH Zurich, honorary professor at the University of Tubingen and Technische Universitat Berlin, and chairman of the European Laboratory for Learning and Intelligent Systems.

Facts
Birth Year
1968 1
Highest Honour
ACM Fellow 2
Connections

In Field

Source Bernhard Schölkopf (Wikipedia)
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Nationality

Also in Geography Atlas: the nationality of this subject.

Sources
1. Wikidata: Bernhard Schölkopf
  • Wikidata Q4894234, resolved via en.wikipedia pageprops (wave rule R-L)
  • Wikidata Q4894234 P569 (date of birth)
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2. Bernhard Schölkopf (Wikipedia)
  • Infobox: awards
    J. K. Aggarwal Prize of the International Association for Pattern Recognition (2006) Max Planck Society#Max Planck Research Award, Max Planck Research Award (2011) Academy Prize of the Berlin-Brandenburg Academy of Sciences and Humanities (2012) Milner Award (2014) Member of the German National Academy of Science (Leopoldina) (2017) Fellow of the ACM (Association for Computing Machinery) (2018) Leibniz Prize (2018) Causality in Statistics Education Award, American Statistical Association Körber European Science Prize (2019) BBVA Foundation Frontiers of Knowledge Awards (2020)
  • In Field: Machine Learning, Infobox: known_for
    Machine Learning Kernel Methods Causal Inference
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