Conference on Data Science and Optimization
Description
The purpose of this conference is to bring together researchers in data science and optimization, both theoretical and applied, in an effort to further bridge the fields and stimulate cross-disciplinary interaction. In both data science and optimization, there has been substantial progress in recent years in both the theoretical formulations (mathematical and/or statistical) and computational approaches.
Schedule
09:30 to 10:00 |
Coffee break
|
10:00 to 10:30 |
Elias Khalil, University of Toronto and Polytechnique Montréal |
10:30 to 11:00 |
Jon Lee, University of Michigan |
11:00 to 11:30 |
Vidya Muthukumar, University of California Berkeley |
11:30 to 12:00 |
Suvrit Sra, Massachusetts Institute of Technology |
12:00 to 13:30 |
Lunch
|
13:30 to 14:00 |
Chris Beck, University of Toronto |
14:00 to 14:30 |
Vijay Kamble, University of Illinois at Chicago |
14:30 to 15:00 |
Tanzy Love, University of Rochester |
15:00 to 15:30 |
Coffee break
|
09:30 to 10:00 |
Coffee break
|
10:00 to 10:30 |
Rodrigo Toro Icarte, University of Toronto |
10:30 to 11:00 |
Sebastian Pokutta, Zuse Institute Berlin / TU Berlin |
11:00 to 11:30 |
Axel Parmentier, École des Ponts ParisTech |
11:30 to 12:00 |
Liyan Xie, Georgia Institute of Technology |
12:00 to 13:30 |
Lunch
|
13:30 to 14:00 |
Oliver Thomas, University of Sussex |
14:00 to 14:30 |
Open Problem Session
|
14:30 to 15:00 |
Open Problem Session
|
15:00 to 18:00 |
Reception at Prenup Pub
|
09:30 to 10:00 |
Coffee break
|
10:00 to 10:30 |
Jacob Abernethy, Georgia Institute of Technology |
10:30 to 11:00 |
Swati Gupta, Georgia Institute of Technology |
11:00 to 11:30 |
Aleksandr Kazachkov, Polytechnique Montréal |
11:30 to 12:00 |
Saeed Ghadimi, Princeton University |
12:00 to 13:30 |
Lunch
|
13:30 to 14:00 |
Lightning Talks (for students)
|
14:00 to 14:30 |
Lightning Talks (for students)
|
14:30 to 15:00 |
Coffee break
|