NIPS 2017
December 4, 2017 - December 9, 2017

Microsoft @ NIPS 2017

Location: Long Beach, California

Venue: Long Beach Convention Center (opens in new tab)

Symposia: December 4, 2017

Demonstrations: December 5–6, 2017

Workshops: December 8–9, 2017

Website: Neural Information Processing Systems (opens in new tab)

Machine learning opportunities at Microsoft:

Click here for opportunities in China (opens in new tab)

Click here for opportunities in India (opens in new tab)

Click here for opportunities in Munich (opens in new tab)

Click here for opportunities in the UK (opens in new tab)

Click here for opportunities in the US (opens in new tab)

Paper Legend card game:

Printable version – part 1 (opens in new tab), part 2 (opens in new tab)

Cloud AI Research Challenge:

Microsoft Cloud AI Research Challenge (opens in new tab)

Microsoft is excited to be a Platinum sponsor of the thirty-first annual conference on Neural Information Processing Systems (NIPS). Over 80 of our researchers are involved in spotlight sessions, presentations, symposiums, posters, accepted papers, and workshops at NIPS (see schedule below). Stop by our booth (#315, Exhibit Hall B) to see HoloLens and Windows Mixed Reality in action, as well as to find out about career opportunities at Microsoft and enter for your chance to win an Xbox One X gaming console. Follow @MSFTResearch for the latest information coming from the event.

NIPS organizing committee

Hanna Wallach, Program Co-chair
Jenn Wortman Vaughan, Tutorial chair
Markus Weimer, Demonstration and competition chair

Workshop organizers

Evelyne Viegas, Machine Learning Challenges as a Research Tool
Nicolo Fusi, Machine Learning in Computational Biology
Siddhartha Sen, ML Systems Workshop
Alekh Agarwal, OPT 2017: Optimization for Machine Learning
Jennifer Wortman Vaughan, Learning in the Presence of Strategic Behavior
Manik Varma, Extreme Classification: Multi-class & Multi-label Learning in Extremely Large Label Spaces
Vasilis Syrgkanis, Learning in the Presence of Strategic Behavior

Symposium organizers

Patrice Simard, Interpretable Machine Learning
Rich Caruana, Interpretable Machine Learning

Invited speaker

December 5 @ 1:50–2:40 PM | Kate Crawford, The Trouble with Bias

Careers at Microsoft information session

December 6 @ 12:30–1:20 PM | Eric Horvitz, Christopher Bishop, Jennifer Chayes, and Mir Rosenberg

Spotlight sessions

December 5 @ 3:30–3:35 PM | Clustering Billions of Reads for DNA Data Storage
Cyrus Rashtchian, Konstantin Makarychev, Luis Ceze, Karin Strauss, Sergey Yekhanin, Djordje Jevdjic, Miklos Racz, and Siena Ang

December 6 @ 11:20–11:25 AM | Submultiplicative Glivenko-Cantelli and Uniform Convergence of Revenues
Noga Alon, Moshe Babaioff, Yannai A. Gonczarowski, Yishay Mansour, Shay Moran, and Amir Yehudayoff

December 6 @ 5:15–5:20 PM | Repeated Inverse Reinforcement Learning
Kareem Amin, Nan Jiang, and Satinder Singh

Oral presentations

December 5 @ 10:55–11:00 AM | Robust Optimization for Non-Convex Objectives
Yaron Singer, Robert S Chen, Vasilis Syrgkanis, and Brendan Lucier

December 6 @ 4:20–4:35 PM | Off-policy evaluation for slate recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal, Miro Dudik, John Langford, Damien Jose, and Imed Zitouni