Mike Rabbat

Research Scientist

Facebook AI Research

I am a Research Scientist in the Facebook AI Research group. I am currently on leave from McGill University where I am an Associate Professor of Electrical and Computer Engineering. I received a Masters from Rice University in 2003 and a PhD from the University of Wisconsin in 2006, both under the supervision of Robert Nowak.

Interests

Optimization, machine learning, parallel algorithms, graphs and networks, signal processing.

Google Scholar Profile
Google Scholar Profile

Latest Publications

Stochastic Gradient Push for Distributed Deep Learning

Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Mike Rabbat

Systems for Machine Learning Workshop at NeurIPS 2018 - December 7, 2018

Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization

Angelica Nedic, Alex Olshevsky, Mike Rabbat

Proceedings of the IEEE - May 15, 2018

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