I am a third year Ph.D. student in the Sierra Team, which is part of the DI/ENS (Computer Science Department of École Normale Supérieure). I am supervised by Francis Bach and Alexandre d'Aspremont . My research interests are at the interface between optimization and statistics.

Publications

Stochastic Composite Least-Squares Regression with convergence rate O(1/n)
Nicolas Flammarion, Francis Bach.
Proceedings of the International Conference on Learning Theory (COLT), 2017.
Robust Discriminative Clustering with Sparse Regularizers
Nicolas Flammarion, Balamurugan Palaniappan and Francis Bach.
Accepted in Journal of Machine Learning Research, 2017.
Optimal rates of Statistical Seriation
Nicolas Flammarion, Cheng Mao and Philippe Rigollet.
Technical report.
Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression
Aymeric Dieuleveut, Nicolas Flammarion and Francis Bach.
Accepted in Journal of Machine Learning Research,2017.
From Averaging to Acceleration, There is Only a Step-size
Nicolas Flammarion, Francis Bach.
Proceedings of the International Conference on Learning Theory (COLT), 2015.

Teaching

MM1 section CPEI, Université Paris Diderot, 2016-2017.
MM1 section physique, Université Paris Diderot, 2015-2016.
MM1 section informatique, Université Paris Diderot, 2014-2015.
Convex optimization and Probabilités, ENSAE, 2013-2014.