Workshop on Big Data and Statistical Machine Learning
Description
The aim of this workshop is to bring together researchers working on various large-scale deep learning as well as hierarchical models to discuss a number of important challenges, including the ability to perform transfer learning as well as the best strategies to learn these systems on large scale problems. These problems are "large" in terms of input dimensionality (in the order of millions), number of training samples (in the order of 100 millions or more) and number of categories (in the order of several tens of thousands).
With support from:
Schedule
| 08:30 to 09:15 |
Coffee and Registration
|
| 09:15 to 09:30 |
Russ Salakhutdinov, University of Toronto |
| 09:30 to 10:30 |
Yoshua Bengio, University of Montreal |
| 10:30 to 11:00 |
Coffee break
|
| 11:00 to 12:00 |
John Langford |
| 12:00 to 14:00 |
Lunch
|
| 14:00 to 15:00 |
Hau-tieng Wu |
| 15:00 to 15:30 |
Tea break
|
| 15:30 |
Roger Grosse, University of Toronto |
| 09:30 to 10:30 |
Brendan Frey, Deep Genomics |
| 10:30 to 11:00 |
Coffee break
|
| 11:00 to 12:00 |
Daniel Roy, University of Toronto |
| 12:00 to 14:00 |
Lunch
|
| 14:00 to 15:00 |
Raquel Urtasun, University of Toronto |
| 15:00 to 15:30 |
Tea break
|
| 09:30 to 10:30 |
Samy Bengio |
| 10:30 to 11:00 |
Coffee break
|
| 11:00 to 12:00 |
Richard Zemel, University of Toronto |
| 12:00 to 14:00 |
Lunch
|
| 14:00 to 14:30 |
David Blei (Presented by Alp Kucukelbir) |
| 14:30 to 15:00 |
James McInerney |
| 15:00 to 15:30 |
Tea break
|
| 15:30 |
Yura Burda |
| 09:30 to 10:30 |
Joelle Pineau |
| 10:30 to 11:00 |
Coffee break
|
| 11:00 to 12:00 |
Cynthia Rudin |
| 12:00 to 14:00 |
Lunch
|
| 14:00 to 15:00 |
Radford Neal, University of Toronto |
| 15:00 to 15:30 |
Tea break
|
| 09:30 to 10:30 |
Alexander Schwing |
| 10:30 to 11:00 |
Coffee break
|
| 12:00 to 14:00 |
Lunch
|
