Invited Talk
in
Workshop: Understanding and Improving Generalization in Deep Learning

Keynote by Aleksander Mądry: Are All Features Created Equal?

Aleksander Madry

2019 Invited Talk
in
Workshop: Understanding and Improving Generalization in Deep Learning

Abstract

TBA.

Bio: Aleksander Mądry is an Associate Professor of Computer Science in the MIT EECS Department and a principal investigator in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). He received his PhD from MIT in 2011 and, prior to joining the MIT faculty, he spent some time at Microsoft Research New England and on the faculty of EPFL.

Aleksander’s research interests span algorithms, continuous optimization, science of deep learning and understanding machine learning from a robustness perspective.

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