2018-2019 Machine Learning Advances and Applications Seminar
Description
Organized by the Vector Institute, the goal of this seminar series is to strengthen the machine learning community in Ontario by bringing together researchers from both academia and industry to discuss advanced topics in machine learning.
The 2018-2019 Machine Learning Advances and Applications Seminar series will feature talks given by international speakers, academic faculty and industry professionals.
The seminar series is intended for faculty and graduate students from diverse educational backgrounds engaged in machine learning across computer science, engineering, statistics, mathematics, linguistics, and medicine, as well as PhD-level data scientists doing applied research.
Vector Institute
The Vector Institute is an independent, non-profit research institution dedicated to the transformative field of artificial intelligence, excelling in deep learning and machine learning – an area of scientific, academic, and commercial endeavour that will shape our world over the next generation. For more information, visit www.vectorinstitute.ai.
Special thanks to Jordan Jacobs and Tomi Poutanen for their help in envisioning and creating this series of seminars.
Schedule
12:00 to 13:00 |
Timothy Lillicrap, DeepMind |
12:00 to 13:00 |
Dan Jurafsky, Stanford Univeristy Location:Bahen Building, Room 1160 |
12:00 to 13:00 |
Cancelled
Cancelled Location: |
12:00 to 13:00 |
Cancelled
Cancelled |
12:00 to 13:00 |
Tamara Broderick, MIT |
12:00 to 13:00 |
Finale Doshi-Velez, Harvard University |
12:00 to 13:00 |
Craig Boutilier, Google AI |
12:00 to 13:00 |
Phil Blunsom, Deepmind, Oxford University |
12:00 to 13:00 |
Ryan Adams, Princeton University |
12:00 to 13:00 |
Kevin Murphy, Google Research |
11:30 to 13:00 |
Alan Aspuru-Guzik, Jimmy Ba, University of Toronto, Murat Erdogu, Marzyeh Ghassemi, Massachusetts Institute of Technology |
14:00 to 15:00 |
Mikhail Belkin, The Ohio State University |
12:00 to 13:00 |
Andriy Mnih, DeepMind |
12:00 to 13:00 |
Kyunghyun Cho, New York University |