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Administrative data

Nicolas Flammarion

nicolas.flammarion@epfl.ch https://scholar.google.com/citations?user=7nVGYfgAAAAJ&hl

EPFL IC IINFCOM TML
INR 110 (Bâtiment INR)
Station 14
1015 Lausanne

Nicolas Flammarion is a tenure-track assistant professor in computer science at EPFL. Prior to that, he was a postdoctoral fellow at UC Berkeley, hosted by Michael I. Jordan. He received his PhD in 2017 from Ecole Normale Superieure in Paris, where he was advised by Alexandre d'Aspremont and Francis Bach. In 2018 he received the prize of the Fondation Mathematique Jacques Hadamard for the best PhD thesis in the field of optimization. His research focuses primarily on learning problems at the interface of machine learning, statistics and optimization.

Teaching & PhD

PhD Students

Aditya Vardhan Varre, Gizem Yüce, Oguz Kaan Yüksel, Francesco D'Angelo, Hristo Georgiev Papazov

Past EPFL PhD Students

Maria-Luiza Vladarean, Maksym Andriushchenko, Scott Pesme

Courses

EECS Seminar: Advanced Topics in Machine Learning

ENG-704

Students learn about advanced topics in machine learning, artificial intelligence, optimization, and data science. Students also learn to interact with scientific work, analyze and understand strengths and weaknesses of scientific arguments of both theoretical and experimental results.

Optimization for machine learning

CS-439

This course teaches an overview of modern optimization methods, for applications in machine learning and data science. In particular, scalability of algorithms to large datasets will be discussed in theory and in implementation.