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Amazon/BAIR Open Research Commons Launch---Friday, May 10, 2019
Please join Amazon and BAIR as we launch our new Berkeley AI Research Commons partnership! On Friday, May 10th, there will be a symposium featuring researchers from Amazon and Berkeley to officially launch this exciting new partnership.

A major theme of the day will be the emerging connections between computer science, economics, optimization and statistics, a nexus where new perspectives and tools are needed to address major challenges in areas such as commerce, services, search, human-machine interaction and supply chain modeling and optimization.

Graduate students interested in potentially partnering with Amazon on a research topic are particularly encouraged to attend.

The event is open to all. If you wish to attend, even for part of the day, please register by filling out the fields below, so that we have an estimate of attendance.

The location is Banatao Auditorium, in 310 Sutardja Dai Hall, at the corner of Hearst & LeRoy in Berkeley.

9:00 - 9:05: Introductions
9:05 - 9:30: Inderjit Dhillon (Amazon)
9:30 - 9:40: Trishul Chilimbi (Amazon)
9:40 - 9:50: Pietro Perona (Amazon, Caltech)
9:50 - 10:15: Michael Jordan (EECS and Statistics, Amazon)
10:15 - 10:25: Will Fithian (Statistics)
10:25 - 10:35: Peng Deng (Statistics)
10:35 - 10:45: Peter Bartlett (EECS and Statistics)

10:45 - 11:15: Coffee (Kvamme Atrium)

11:15 - 11:25: Shachar Kariv (Economics)
11:25 - 11:35: Bryan Graham (Economics)
11:35 - 11:45: Chris Shannon (Economics)
11:45 - 11:55: Noureddine El Karoui (Statistics)
11:55 - 12:05: Ben Recht (EECS)
12:05 - 12:15: Vishy Vishwanathan (Amazon)

12:15 - 1:15: Lunch

1:15 - 1:40: Ping Xu (Amazon)
1:40 - 1:50: Ruofeng Wen (Amazon)
1:50 - 2:00: Alvaro Maggiar (Amazon)
2:00 - 2:10: Ion Stoica (EECS)
2:10 - 2:20: Shafi Goldwasser (EECS)
2:20 - 2:30: Martin Wainwright (EECS and Statistics)

2:30-3:15p Coffee & Dessert Reception (Kvamme Atrium)

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What fraction of the talks do you expect to attend? *
Your research areas of interest
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Name of your faculty advisor (if applicable)
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