Winter School on Optimization and Operations Research

Prof. Simon Lacoste-Julien

Université de Montréal

Prof. Simon Lacoste-Julien

Simon Lacoste-Julien is an Assistant Professor in the Department of Computer Science and Operation Research at the Université de Montréal. His area of expertise is machine learning, structured prediction and non-linear optimization. He has made several contributions at the intersection of machine learning and optimization, in particular some of the fastest optimization approaches for structured prediction. His work played a key role in the revival of interest for the Frank-Wolfe optimization algorithm, which lead to dozens of follow-up work. He is an area chair for the top conferences in machine learning such as NIPS and ICML.

Simon joined the Université de Montréal in 2016. Prior to coming to the Université de Montréal, Simon was a Research Scientist at INRIA Paris and in the computer science department of École Normale Supérieure, Paris. He obtained a BSc in mathematics, physics and computer science from McGill University, a PhD in computer science and statistics from UC Berkeley and a post-doc from the University of Cambridge.

Click here for the personal webpage

Lecture notes

The lectures will be based on lectures 4-5, 10, 12, 14, 19 and 20 of this class:

with lecture notes and pointers available here:

Lecture notes

Important dates

December 16, 2017:

January 12, 2018:

January 14-19, 2018:
deadline for early registration
deadline for late registration



Mila Bender

Transport and Mobility Laboratory (TRANSP-OR)
Station 18
CH-1015 Lausanne