No
Yes
View More
View Less
Working...
Close
OK
Cancel
Confirm
System Message
Delete
Schedule
An unknown error has occurred and your request could not be completed. Please contact support.
Scheduled
Wait Listed
Personal Calendar
Speaking
Conference Event
Meeting
Interest
Schedule TBD
Conflict Found
This session is already scheduled at another time. Would you like to...
Loading...
Please enter a maximum of {0} characters.
Please enter a maximum of {0} words.
must be 50 characters or less.
must be 40 characters or less.
Session Summary
We were unable to load the map image.
This has not yet been assigned to a map.
Search Catalog
Reply
Replies ()
Search
New Post
Microblog
Microblog Thread
Post Reply
Post
Your session timed out.
This web page is not optimized for viewing on a mobile device. Visit this site in a desktop browser to access the full set of features.
2017 GTC San Jose

Russ Salakhutdinov

Associate Professor, Carnegie Mellon University

Speaker Bio

Ruslan Salakhutdinov joined the Machine Learning Department at Carnegie Mellon University as an associate professor in 2016. Previously, he was an assistant professor in the Departments of Statistics and Computer Science at the University of Toronto. He also spent two postdoctoral years at the Massachusetts Institute of Technology Artificial Intelligence Lab. Ruslan's primary interests lie in deep learning, machine learning, and large-scale optimization. He is an action editor of the Journal of Machine Learning Research and served on the senior programme committee of several learning conferences including NIPS and ICML. He is an Alfred P. Sloan Research Fellow, Microsoft Research Faculty Fellow, and Canada Research Chair in Statistical Machine Learning, a recipient of the Early Researcher Award, Google Faculty Award, and NVIDIA's Pioneers of AI award, and a senior fellow of the Canadian Institute. Ruslan received his Ph.D. in computer science from the University of Toronto in 2009.

Speaker Sessions