Othmane Sebbouh

home • publications & preprints

About me

I am a PhD Student at ENS Paris, CREST-ENSAE and CNRS, where I am working under the supervision of Gabriel Peyré and Marco Cuturi. My field of research is machine learning, with a special emphasis on optimization and optimal transport.

In the summer of 2021, I worked with Nathan Benaich and Ian Hogarth on the State of AI Report 2021. The State of AI Report analyses the most interesting developments in AI from four perspectives: research, talent, industry and politics. Be sure to check it out :)

Before my PhD, I also had the chance to be supervised by Robert M. Gower and Charles Dossal for two internships revolving around convex and stochastic optimization during my masters studies.

I hold an MSc in management from ESSEC Business School and a Master in Applied Mathematics from ENSAE and Ecole Polytechnique.

News

October 2021: The State of AI Report 2021 is out! Enjoyed every minute of working with Nathan Benaich and Ian Hogarth this summer.
May 2021: Our paper, Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball, was accepted to COLT. Joint work with Robert M. Gower and Aaron Defazio.
January 2021: Our paper, SGD for structured nonconvex functions: Learning rates, minibatching and interpolation, was accepted to AISTATS. Joint work with Robert M. Gower and Nicolas Loizou.
January 2021: Updated preprint: Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball. Joint work with Robert M. Gower and Aaron Defazio.