Mike Rabbat

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

Latest Publications

MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions

Viswanath Sivakumar, Tim Rocktäschel, Alexander H. Miller, Heinrich Küttler, Nantas Nardelli, Mike Rabbat, Joelle Pineau, Sebastian Riedel

Workshop on ML for Systems at NeurIPS - November 30, 2019

Stochastic Gradient Push for Distributed Deep Learning

Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Mike Rabbat

ICML - June 10, 2019

Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization

Angelica Nedic, Alex Olshevsky, Mike Rabbat

Proceedings of the IEEE - May 15, 2018