Simon Lacoste-Julien

Associate Professor

Department of Computer Science and Operations Research, Université de Montréal/Mila, Université de Montréal & SAIL Montreal

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Research Interests：
Structured prediction
Optimization and machine learning
Theory of deep learning
Modern generative models
Causality
Applications: NLP, information retrieval, computer vision, computational biology

Papers88 papers

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An Analysis of the Adaptation Speed of Causal Models

Priol Rémi Le, Harikandeh Reza Babanezhad,Bengio Yoshua,Lacoste-Julien Simon

AISTATS, pp.775-783, (2021)

EIBibtex

Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning

Namyeong Kwon, Hwidong Na, Gabriel Huang,Simon Lacoste-Julien

international conference on learning representations, (2021)

Bibtex

Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence

Loizou Nicolas,Vaswani Sharan,Laradji Issam,Lacoste-Julien Simon

AISTATS, pp.1306-1314, (2021)

Cited by6EIBibtex

A Closer Look at the Optimization Landscapes of Generative Adversarial Networks

Hugo Berard,Gauthier Gidel, Amjad Almahairi,Pascal Vincent,Simon Lacoste-Julien

ICLR, (2020)

Cited by18EIBibtex

Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets

Thomas Kerdreux, Lewis Liu,Simon Lacoste-Julien, Damien Scieur

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Gradient-Based Neural DAG Learning

Sébastien Lachapelle, Philippe Brouillard, Tristan Deleu,Simon Lacoste-Julien

ICLR, (2020)

EIBibtex

Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation

Yassine Yaakoubi, François Soumis,Simon Lacoste-Julien

EURO J. Transp. Logist., no. 4 (2020): 100020

EIBibtex

Implicit Regularization in Deep Learning: A View from Function Space

Aristide Baratin, Thomas George, César Laurent,R Devon Hjelm, Guillaume Lajoie,Pascal Vincent,Simon Lacoste-Julien

Cited by1Bibtex

Differentiable Causal Discovery from Interventional Data

Philippe Brouillard,Sébastien Lachapelle,Alexandre Lacoste,Simon Lacoste-Julien,Alexandre Drouin

NIPS 2020, (2020)

EIBibtex

Adversarial Example Games

Avishek Joey Bose, Gauthier Gidel,Hugo Berrard, Andre Cianflone,Pascal Vincent,Simon Lacoste-Julien,William L. Hamilton

NIPS 2020, (2020)

Cited by3EIBibtex

GAIT - A Geometric Approach to Information Theory

Jose Gallego-Posada, Ankit Vani, Max Schwarzer,Simon Lacoste-Julien

AISTATS, pp.2601-2611, (2020)

EIBibtex

A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games

Waïss Azizian,Ioannis Mitliagkas,Simon Lacoste-Julien,Gauthier Gidel

AISTATS, pp.2863-2873, (2020)

Cited by19EIBibtex

Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)

Vaswani Sharan, Kunstner Frederik,Laradji Issam, Meng Si Yi,Schmidt Mark,Lacoste-Julien Simon

Cited by2Bibtex

To Each Optimizer a Norm, To Each Norm its Generalization

Vaswani Sharan, Babanezhad Reza, Gallego Jose, Mishkin Aaron,Lacoste-Julien Simon,Roux Nicolas Le

Cited by1Bibtex

Stochastic Hamiltonian Gradient Methods for Smooth Games

Nicolas Loizou,Hugo Berard, Alexia Jolicoeur-Martineau,Pascal Vincent,Simon Lacoste-Julien,Ioannis Mitliagkas

ICML, pp.6370-6381, (2020)

Cited by6EIBibtex

On the Convergence of Continuous Constrained Optimization for Structure Learning

Ignavier Ng,Sébastien Lachapelle, Nan Rosemary Ke,Simon Lacoste-Julien

Bibtex

Geometry-Aware Universal Mirror-Prox

Reza Babanezhad,Simon Lacoste-Julien

Bibtex

Accelerating Smooth Games by Manipulating Spectral Shapes

Azizian Waïss, Scieur Damien,Mitliagkas Ioannis,Lacoste-Julien Simon,Gidel Gauthier

AISTATS, pp.1705-1715, (2020)

Cited by9EIBibtex

Reducing Noise in GAN Training with Variance Reduced Extragradient

Tatjana Chavdarova,Gauthier Gidel, François Fleuret,Simon Lacoste-Julien

ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 391-401

Cited by35EIBibtex

GEAR: Geometry-Aware R\'enyi Information

Gallego Jose, Vani Ankit, Schwarzer Max,Lacoste-Julien Simon

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Simon Lacoste-JulienBinding

Papers88 papers

Simon Lacoste-Julien