12th Annual Machine Learning Symposium

12th Annual Machine Learning Symposium

Friday, March 9, 2018

The New York Academy of Sciences, 7 World Trade Center, 250 Greenwich St Fl 40, New York, USA

Presented By

Machine Learning Discussion Group

The New York Academy of Sciences

 

Machine Learning, a subfield of computer science, involves the development of mathematical algorithms that discover knowledge from specific data sets, and then "learn" from the data in an iterative fashion that allows predictions to be made. Today, Machine Learning has a wide range of applications, including natural language processing, search engine optimization, medical diagnosis and treatment, financial fraud detection, and stock market analysis.

This symposium, the twelfth in an ongoing series presented by the Machine Learning Discussion Group at the New York Academy of Sciences, will feature Keynote Presentations from leading scientists in both applied and theoretical Machine Learning and Spotlight Talks, a series of short, early career investigator presentations across a variety of topics at the frontier of Machine Learning.

Call for Abstracts

Abstract submissions are invited for consideration for ten short "Spotlight Talks" as well as presentation in a poster session. For complete submission instructions, please visit our online portal. The deadline for abstract submission is January 19, 2018.

Registration

Member
$60
Nonmember Academia, Faculty, etc.
$105
Nonmember Corporate, Other
$160
Nonmember Not for Profit
$105
Nonmember Student, Undergrad, Grad, Fellow
$70
Member Student, Post-Doc, Fellow
$25

Scientific Organizing Committee

12th Annual Machine Learning Symposium
Naoki Abe, PhD, IBM Research
12th Annual Machine Learning Symposium
Corinna Cortes, PhD, Google Research
12th Annual Machine Learning Symposium
Patrick Haffner, PhD, Interactions Corporation
12th Annual Machine Learning Symposium
Elad Hazan, PhD, Princeton University
12th Annual Machine Learning Symposium
Tony Jebara, PhD, Columbia University
12th Annual Machine Learning Symposium
John Langford, PhD, Microsoft
12th Annual Machine Learning Symposium
Alexander Rakhlin, PhD, University of Pennsylvania
12th Annual Machine Learning Symposium
Jennifer L. Costley, PhD, The New York Academy of Sciences
12th Annual Machine Learning Symposium
Mehryar Mohri, PhD, Courant Institute of Mathematical Sciences, New York University
12th Annual Machine Learning Symposium
Robert Schapire, PhD, Microsoft Research

Keynote Speakers

12th Annual Machine Learning Symposium
Zeyuan Allen-Zhu, ScD, Microsoft
12th Annual Machine Learning Symposium
Constantinos Daskalakis, PhD, Massachusetts Institute of Technology
12th Annual Machine Learning Symposium
Sergey Levine, PhD, UC Berkeley
12th Annual Machine Learning Symposium
Meredith Whittaker, Google

Friday

March 09, 2018

Symposium Agenda

9:00 AM

Registration, Continental Breakfast, and Poster Set-up

10:00 AM

Welcome Remarks

10:10 AM

Keynote Address 1

Speaker

Constantinos Daskalakis, PhD
MIT
10:50 AM

Audience Q&A

11:05 AM

Spotlight Talks: Session 1

11:30 AM

Networking Break and Poster Viewing

12:20 PM

Keynote Address 2

Speaker

Meredith Walker
Google
1:00 PM

Audience Q&A

1:15 PM

Networking Lunch and Poster Viewing

2:30 PM

Spotlight Talks: Session 2

2:55 PM

Keynote Address 3

Speaker

Zeyuan Allen-Zhu, ScD
Microsoft
3:35 PM

Audience Q&A

3:50 PM

Networking Break

4:05 PM

Keynote Address 4

Speaker

Sergey Levine, PhD
UC Berkeley
4:45 PM

Audience Q&A

5:00 PM

Closing Remarks and Awards

5:10 PM

Networking Reception

6:00 PM

Symposium Adjourns