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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, March 28, 2014 | 9:00 AM - 5:00 PM

    8th Annual Machine Learning Symposium

    Keynote Speakers: Rayid Ghani (University of Chicago), Brian Kingsbury (IBM), Jorge Nocedal (Northwestern University)

    Chief Data Scientist for the 'Obama for America' 2012 re-election campaign, and other experts, explore the latest innovations in harnessing the power of big data through machine learning.

    Friday, October 19, 2012 | 9:30 AM - 5:00 PM

    7th Annual Machine Learning Symposium

    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

    5th Annual Machine Learning Symposium

    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

    4th Annual Machine Learning Symposium

    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

    3rd Annual Machine Learning Symposium

    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

    2nd Annual Machine Learning Symposium

    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

    Machine Learning Symposium

    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

    Naoki Abe, PhD

    IBM Research

    Corinna Cortes, PhD

    Google

    Patrick Haffner, PhD

    AT&T Labs-Research

    Tony Jebara, PhD

    Columbia University

    John Langford, PhD

    Microsoft Research

    Mehryar Mohri, PhD

    Courant Institute of Mathematical Sciences

    Gunnar Rätsch, PhD

    Memorial Sloan-Kettering Cancer Center

    Robert Schapire, PhD

    Princeton University

    Di Xu, PhD

    American Express

    Brooke Grindlinger

    The New York Academy of Sciences


  • Sponsors

    • American Express
    • IBM

    Mission Partner support for the Frontiers of Science program provided by:

    • Johnson & Johnson

    Get more information about how you can sponsor a discussion group.

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