Nicolas Flammarion

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nicolas.flammarion@epfl.ch +41 21 693 27 37 https://scholar.google.com/citations?user=7nVGYfgAAAAJ&hl

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

+41 21 693 27 37
+41 21 693 52 26
Office: INR 110
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Web site: Web site: https://ssc.epfl.ch

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EPFL > VPA-AVP-DLE > AVP-DLE-EDOC > EDIC-GE

Web site: Web site: https://go.epfl.ch/phd-edic

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EPFL > VPA-AVP-DLE > AVP-DLE-EDOC > EDEE-ENS

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Biography

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

Courses

Optimization for machine learning

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.

Nicolas Flammarion

Biography

Teaching & PhD

Courses

Optimization for machine learning

EECS Seminar: Advanced Topics in Machine Learning

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