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Machine Learning Discussion Group
Machine learning, the study of computer algorithms that improve automatically through experience, has a wide spectrum of applications, including natural language processing, search engines, medical diagnosis, bioinformatics and cheminformatics, detecting credit card fraud, and stock market analysis.
The Machine Learning Discussion Group holds an annual symposium each fall to discuss advanced research related to such topics. Participants come from a variety of disciplines and from both academic and industry institutions, promoting the exchange of new insights between communities.
Past Events
Friday, October 19, 2012 | 9:30 AM - 5:00 PM
Peter Bartlett (University of California, Berkeley), William Freeman (Massachusetts Institute of Technology) and Vladimir Vapnik (Columbia University and NEC-labs)
This symposium features keynote speakers in applied and theoretical machine learning as well as "spotlight" talks selected from poster abstract submissions.
Friday, October 22, 2010 | 9:30 AM - 5:00 PM
Speakers: David Blei (Princeton University), Sanjoy Dasgupta (University of California, San Diego), Michael Collins (Massachusetts Institute of Technology), and Yann LeCun (New York University)
The aim of these series of symposia is to build a community of scientists in machine learning from the NYC area's academic, government, and industrial institutions by convening and promoting the exchange of ideas in a neutral setting.
Friday, November 6, 2009 | 10:00 AM - 4:30 PM
Speakers: Robert Bell (AT&T Labs Research), Avrim Blum (Carnegie Mellon University), Thorsten Joachims (Cornell University), Philip Long (Google)
The aim of the annual Machine Learning Symposium is to build a community of scientists in machine learning from the NYC area's academic, government, and industrial institutions by convening and promoting the exchange of ideas in a neutral setting.
Friday, October 10, 2008 | 10:00 AM - 4:30 PM
This is the third symposium on Machine Learning at the New York Academy of Sciences. These series of symposia aim to build a community of scientists in all areas of machine learning in academic, government, and industrial institutions by convening and promoting the exchange of ideas in a collegial setting.
Friday, October 12, 2007 | 10:00 AM - 4:00 PM
Speakers: Leslie Pack Kaelbling (MIT), Yishay Mansour (Google and Tel-Aviv University), Fernando Pereira (University of Pennsylvania), and Michael L. Littman (Rutgers University)
The primary goal of this symposium is to build a community of scientists in machine learning by convening and promoting the exchange of ideas in a neutral setting.
Friday, October 27, 2006 | 10:00 AM - 4:00 PM
The primary goal of this symposium is to build a community of scientists in machine learning by convening and promoting the exchange of ideas in a neutral setting.
Steering Committee
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IBM Research
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Google
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AT&T Labs-Research
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Columbia University
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Microsoft Research
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Courant Institute of Mathematical Sciences
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Princeton University
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The New York Academy of Sciences
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Sponsors
Mission Partner support for the Frontiers of Science program provided by:
Get more information about how you can sponsor a discussion group.
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