11th Annual Machine Learning Symposium


Register at www.nyas.org/ml2017

This symposium, the latest in a highly successful series, brings together leading researchers from academia and industry to present new algorithms for statistical learning and novel theoretical approaches and discuss applications of ML to real-world data.

Location

The New York Academy of Sciences
7 World Trade Center
250 Greenwich Street
40th Floor New York, NY 10007

Event Time

10:00 a.m. – 6:30 p.m.

Call for Poster Abstracts

Deadline: January 13, 2017.
For submission details, go to www.nyas.org/ml2017

Keynote Speakers

Kamalika Chaudhuri, PhD
University of California San Diego

Tim Roughgarden, PhD
Stanford University

Suchi Saria, PhD
Johns Hopkins University

Organizers

Naoki Abe, PhD
IBM T. J. Watson Research Center

Corinna Cortes, PhD
Google Research

Jennifer L. Costley, PhD
The New York Academy of Sciences

Patrick Haffner, PhD
Interactions Corporation

Tony Jebara, PhD
Columbia University

John Langford, PhD
Microsoft Research

Mehryar Mohri, PhD
Courant Institute of Mathematical Sciences, New York University

Alexander Rakhlin, PhD
University of Pennsylvania

Gunnar Rätsch, PhD
ETH Zürich

Robert Schapire, PhD
Microsoft Research

To become an Academy Member, visit www.nyas.org/join

Twitter: @NYASciences #ML2017


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