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In Memory of Olivier Chapelle
Bernhard Schölkopf · Andre Elisseeff · Olivier Bousquet · Vladimir Vapnik · Jason E Weston

Wed Dec 09 11:00 AM -- 12:00 PM (PST) @ None

Earlier this year, Olivier Chapelle passed away aged 42, after an unexpected severe illness that he was diagnosed with only a year before. He is sorely missed by his family and his friends, many of which had known him not only as a kind and modest human being, but also as one of the very best machine learning researchers of his generation. We are holding a memorial session in Olivier’s honour, with contributions from some of these friends, including Olivier Bousquet, Andre Elisseeff, Minmin Chen, Dilan Görür, Isabelle Guyon, Bernhard Schölkopf, Keerthi Selvaraj, Vladimir Vapnik, Kilian Weinberger, and Jaston Weston.

Author Information

Bernhard Schölkopf (MPI for Intelligent Systems, Tübingen)

Bernhard Scholkopf received degrees in mathematics (London) and physics (Tubingen), and a doctorate in computer science from the Technical University Berlin. He has researched at AT&T Bell Labs, at GMD FIRST, Berlin, at the Australian National University, Canberra, and at Microsoft Research Cambridge (UK). In 2001, he was appointed scientific member of the Max Planck Society and director at the MPI for Biological Cybernetics; in 2010 he founded the Max Planck Institute for Intelligent Systems. For further information, see www.kyb.tuebingen.mpg.de/~bs.

Andre Elisseeff (IBM Zurich Research Lab)
Olivier Bousquet (Google Brain (Zurich))
Vladimir Vapnik (Columbia University and Facebook AI Research, New York)

<p>Vladimir Vapnik is leading scientist in the field of Machine Learning. He laid foundations of the general learning theory, called Vapnik-Chervonenkis (VC) theory, introduced one of the most effective machine learning methods, called Support Vector Machine (SVM) method, and introduced a new learning paradigm, called Learning with Intelligent Teacher.</p> <p>Vladimir is member of National Academy of Engineering (2006), winer of many international Awards which include: the Humboldt Award (2003) the Gabor Award (2005), the Paris Kanellakis Award (2008), the Neural Networks Pioneer Award (2010), the Frank Rosenblatt Award (2012), the Benjamin Franklin Medal in Computer and Cognitive Science (2012), the C&C Prize (Japan), and Kamp de Friet Award (2014).</p>

Jason E Weston (Facebook AI Research)

Jason Weston received a PhD. (2000) from Royal Holloway, University of London under the supervision of Vladimir Vapnik. From 2000 to 2002, he was a researcher at Biowulf technologies, New York, applying machine learning to bioinformatics. From 2002 to 2003 he was a research scientist at the Max Planck Institute for Biological Cybernetics, Tuebingen, Germany. From 2004 to June 2009 he was a research staff member at NEC Labs America, Princeton. From July 2009 onwards he has been a research scientist at Google, New York. Jason Weston's current research focuses on various aspects of statistical machine learning and its applications, particularly in text and images.

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