Gauthier Gidel
Gauthier Gidel
PhD candidate at MILA
Verified email at umontreal.ca - Homepage
TitleCited byYear
A Variational Inequality Perspective on Generative Adversarial Networks
G Gidel, H Berard, G Vignoud, P Vincent, S Lacoste-Julien
ICLR 2019 - Proceedings of the Seventh International Conference on Learning …, 2019
452019
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
252019
Frank-wolfe algorithms for saddle point problems
G Gidel, T Jebara, S Lacoste-Julien
AISTATS 2017 - Proceedings of the 20th International Conference on …, 2017
222017
Frank-Wolfe Splitting via Augmented Lagrangian Method
G Gidel, F Pedregosa, S Lacoste-Julien
AISTATS 2018 - Proceedings of the 21st International Conference on …, 2018
112018
Reducing noise in gan training with variance reduced extragradient
T Chavdarova, G Gidel, F Fleuret, S Lacoste-Julien
arXiv preprint arXiv:1904.08598, 2019
102019
Adaptive Three Operator Splitting
F Pedregosa, G Gidel
ICML 2018 - Proceedings of the 35rd International Conference on Machine Learning, 2018
72018
Implicit regularization of discrete gradient dynamics in deep linear neural networks
G Gidel, F Bach, S Lacoste-Julien
arXiv preprint arXiv:1904.13262, 2019
52019
Parametric Adversarial Divergences are Good Task Losses for Generative Modeling
G Huang, H Berard, A Touati, G Gidel, P Vincent, S Lacoste-Julien
arXiv preprint arXiv:1708.02511, 2017
5*2017
Finite regret and cycles with fixed step-size via alternating gradient descent-ascent
JP Bailey, G Gidel, G Piliouras
arXiv preprint arXiv:1907.04392, 2019
42019
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
S Vaswani, A Mishkin, I Laradji, M Schmidt, G Gidel, S Lacoste-Julien
arXiv preprint arXiv:1905.09997, 2019
32019
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
H Berard, G Gidel, A Almahairi, P Vincent, S Lacoste-Julien
arXiv preprint arXiv:1906.04848, 2019
12019
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
arXiv preprint arXiv:1905.12080, 2019
12019
Lower Bounds and Conditioning of Differentiable Games
A Ibrahim, W Azizian, G Gidel, I Mitliagkas
arXiv preprint arXiv:1906.07300, 2019
2019
A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games
W Azizian, I Mitliagkas, S Lacoste-Julien, G Gidel
arXiv preprint arXiv:1906.05945, 2019
2019
Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks
G Gidel, F Bach, S Lacoste-Julien
Advances in Neural Information Processing Systems, 3196-3206, 2019
2019
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Articles 1–15