Friday, October 27, 2017 - 11:00am to Saturday, October 28, 2017 - 10:55am
Event Calendar Category
IDSS
Speaker Name
Amit Daniely
Affiliation
Building and Room number
E18-304
Abstract
Can learning theory, as we know it today, form a theoretical basis for neural networks. I will try to discuss this question in light of two new results — one positive and one negative.
Based on joint work with Roy Frostig, Vineet Gupta and Yoram Singer, and with Vitaly Feldman
Biography
Amit Daniely is an Assistant Professor at the Hebrew University in Jerusalem, and a research scientist at Google Research, Tel-Aviv. Prior to that, he was a research scientist at Google Research, Mountain-View. Even prior to that, he was a Ph.D. student at the Hebrew University of Jerusalem, Israel, supervised by Nati Linial and Shai Shalev-Shwartz. His main research interest is Machine Learning Theory.