Articles with public access mandates - Gauthier GidelLearn more
Available somewhere: 24
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
S Vaswani, A Mishkin, I Laradji, M Schmidt, G Gidel, S Lacoste-Julien
NeurIPS 2019 - Advances in Neural Information Processing Systems, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada
Negative momentum for improved game dynamics
G Gidel, RA Hemmat, M Pezeshki, G Huang, R Lepriol, S Lacoste-Julien, ...
AISTATS 2019 - Proceedings of the 22nd International Conference on …, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada, Fonds de …
Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks
G Gidel, F Bach, S Lacoste-Julien
NeurIPS 2019 - Advances in Neural Information Processing Systems, 3196-3206, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada
Reducing noise in gan training with variance reduced extragradient
T Chavdarova, G Gidel, F Fleuret, S Lacoste-Julien
Neurips 2019 - Advances in Neural Information Processing Systems, 2019
Mandates: Natural Sciences and Engineering Research Council of Canada
A tight and unified analysis of gradient-based methods for a whole spectrum of differentiable games
W Azizian, I Mitliagkas, S Lacoste-Julien, G Gidel
International conference on artificial intelligence and statistics, 2863-2873, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada, Fonds de …
Frank-wolfe algorithms for saddle point problems
G Gidel, T Jebara, S Lacoste-Julien
AISTATS 2017 - Proceedings of the 20th International Conference on …, 2017
Mandates: US National Science Foundation, US Department of Defense
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
G Kerg, K Goyette, MP Touzel, G Gidel, E Vorontsov, Y Bengio, G Lajoie
NeurIPS 2019 - Advances in Neural Information Processing Systems, 2019
Mandates: Fonds de recherche du Québec - Santé, Natural Sciences and Engineering …
Linear lower bounds and conditioning of differentiable games
A Ibrahim, W Azizian, G Gidel, I Mitliagkas
International conference on machine learning, 4583-4593, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada, Fonds de …
Adversarial example games
AJ Bose, G Gidel, H Berard, A Cianflone, P Vincent, S Lacoste-Julien, ...
NeurIPS 2020, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada
Accelerating Smooth Games by Manipulating Spectral Shapes
W Azizian, D Scieur, I Mitliagkas, S Lacoste-Julien, G Gidel
AISTATS 2020 - Proceedings of the 23rd International Conference on …, 2020
Mandates: Natural Sciences and Engineering Research Council of Canada, Fonds de …
Last-iterate convergence of optimistic gradient method for monotone variational inequalities
E Gorbunov, A Taylor, G Gidel
Advances in neural information processing systems 35, 21858-21870, 2022
Mandates: European Commission, Agence Nationale de la Recherche
Adaptive Three Operator Splitting
F Pedregosa, G Gidel
ICML 2018 - Proceedings of the 35rd International Conference on Machine Learning, 2018
Mandates: Natural Sciences and Engineering Research Council of Canada, European Commission
Frank-Wolfe Splitting via Augmented Lagrangian Method
G Gidel, F Pedregosa, S Lacoste-Julien
AISTATS 2018 - Proceedings of the 21st International Conference on …, 2018
Mandates: Natural Sciences and Engineering Research Council of Canada, European Commission
A single gradient step finds adversarial examples on random two-layers neural networks
S Bubeck, Y Cherapanamjeri, G Gidel, R Tachet des Combes
Advances in Neural Information Processing Systems 34, 10081-10091, 2021
Mandates: US National Science Foundation
Clipped stochastic methods for variational inequalities with heavy-tailed noise
E Gorbunov, M Danilova, D Dobre, P Dvurechenskii, A Gasnikov, G Gidel
Advances in Neural Information Processing Systems 35, 31319-31332, 2022
Mandates: German Research Foundation
On the convergence of stochastic extragradient for bilinear games using restarted iteration averaging
CJ Li, Y Yu, N Loizou, G Gidel, Y Ma, N Le Roux, M Jordan
International Conference on Artificial Intelligence and Statistics, 9793-9826, 2022
Mandates: US National Science Foundation, US Department of Defense
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization
CJ Li, A Yuan, G Gidel, Q Gu, MI Jordan
arXiv preprint arXiv:2210.17550, 2022
Mandates: US National Science Foundation, US Department of Defense
Proving linear mode connectivity of neural networks via optimal transport
D Ferbach, B Goujaud, G Gidel, A Dieuleveut
International Conference on Artificial Intelligence and Statistics, 3853-3861, 2024
Mandates: Agence Nationale de la Recherche
On the convergence of stochastic extragradient for bilinear games with restarted iteration averaging
CJ Li, Y Yu, N Loizou, G Gidel, Y Ma, NL Roux, MI Jordan
arXiv preprint arXiv:2107.00464, 2021
Mandates: US National Science Foundation, US Department of Defense
Generalized natural gradient flows in hidden convex-concave games and gans
A Mladenovic, I Sakos, G Gidel, G Piliouras
International Conference on Learning Representations, 2022
Mandates: A*Star, Singapore, National Research Foundation, Singapore
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