Robert M. Gower
Assistant Professor
Computer Science Department
Ecole Normale Superieure (ENS)
France
Biography
I am an assistant professor at Telecom-Paristech in the Signal, Statistics and Machine Learning group (S2A) which is part of the LTCI lab. Shipped off to Brazil in 2000, where I started secondary school on a beach and became a proficient sea swimmer. This was followed by a mathematics degree at the State University of Campinas, after which I landed a job in Risk/Finance in São Paulo. In 2012 I moved to Edinburgh to pursue a PhD in Mathematics at the University of Edinburgh under the supervision of Dr. Peter Richtárik.
Research Interest
My research interests include: Optimization methods for machine learning, randomized numerical linear algebra, variable metric and quasi-Newton methods, automatic differentiation (backpropagation), and more.
Publications
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Sketch and Project: Randomized Iterative Methods for Linear Systems and Inverting Matrices R.M. Gower PhD Dissertation, School of Mathematics, The University of Edinburgh, 2016
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Linearly Convergent Randomized Iterative Methods for Computing the Pseudoinverse R.M. Gower and P. Richtárik arXiv:1612.06255, 2016
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Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods R.M. Gower, Nicolas Le Roux and Francis Bach . arXiv:1710.07462, 2017
