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.


Stochastic Composite Least-Squares Regression with convergence rate O(1/n)
Nicolas Flammarion, Francis Bach.
Technical report.
Robust Discriminative Clustering with Sparse Regularizers
Nicolas Flammarion, Balamurugan Palaniappan and Francis Bach.
Technical report. An extended abstract was in NIPS Workshop on Feature Extraction: Modern Questions and Challenges, 2015.
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.
Technical report. An extended abstract will be in NIPS Workshop on Optimization for Machine Learning, 2016.
From Averaging to Acceleration, There is Only a Step-size
Nicolas Flammarion, Francis Bach.
In COLT 2015.


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.