Gauthier Gidel

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Simon Lacoste-JulienAssociate Professor - Canada CIFAR AI Chair, University of Montreal / MilaVerified email at iro.umontreal.ca
Hugo BerardPhD student, MILA, University of MontrealVerified email at umontreal.ca
Ioannis (Yannis) MitliagkasAssociate Professor at Mila, University of MontréalVerified email at iro.umontreal.ca
Pascal VincentFacebook AI Research; U. Montreal (Professor, Computer Sc. & Op. Res.); MILA; CIFARVerified email at iro.umontreal.ca
Eduard GorbunovPostdoctoral Fellow, Mohamed bin Zayed University of Artificial IntelligenceVerified email at mbzuai.ac.ae
Nicolas LoizouJohns Hopkins UniversityVerified email at jhu.edu
Gabriel HuangPhD candidate, Mila & Visiting Researcher, ServiceNowVerified email at umontreal.ca
Wojciech Marian Czarnecki.Verified email at google.com
Fabian PedregosaGoogleVerified email at google.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
David BalduzziXTX MarketsVerified email at google.com
Waïss AzizianPhd, UGA, GrenobleVerified email at univ-grenoble-alpes.fr
Chris Junchi LiUC BerkeleyVerified email at berkeley.edu
Marco JiralerspongMila, University of MontrealVerified email at umontreal.ca
Samuel HorvathMohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at mbzuai.ac.ae
Gaëtan VignoudPhD student, INRIA & Collège de FranceVerified email at inria.fr
Joey BoseMcGill University, MilaVerified email at mail.mcgill.ca
Damien ScieurSamsung - SAIL MontréalVerified email at samsung.com
Aaron MishkinPhD Student, Stanford UniversityVerified email at cs.stanford.edu
Issam H. LaradjiStaff Research Scientist at ServiceNow & Adjunct Professor at University of British ColumbiaVerified email at servicenow.com

Gauthier Gidel

Assistant professor at Mila, University of Montréal (DIRO)

Verified email at umontreal.ca - Homepage

Artificial Intelligence Machine learning Optimization Game Theory Neural Network


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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	382	2019
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	182	2019
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	179	2019
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	134	2019
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	132	2019
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	92	2020
Frank-wolfe algorithms for saddle point problems G Gidel, T Jebara, S Lacoste-Julien AISTATS 2017 - Proceedings of the 20th International Conference on …, 2017	78	2017
Real world games look like spinning tops WM Czarnecki, G Gidel, B Tracey, K Tuyls, S Omidshafiei, D Balduzzi, ... Advances in Neural Information Processing Systems 33, 17443-17454, 2020	76	2020
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks H Berard, G Gidel, A Almahairi, P Vincent, S Lacoste-Julien ICLR 2020 - Proceedings of the Eighth International Conference on Learning …, 2020	63	2020
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	61	2019
Extragradient method: O (1/k) last-iterate convergence for monotone variational inequalities and connections with cocoercivity E Gorbunov, N Loizou, G Gidel International Conference on Artificial Intelligence and Statistics, 366-402, 2022	59	2022
Linear lower bounds and conditioning of differentiable games A Ibrahim, W Azizian, G Gidel, I Mitliagkas International conference on machine learning, 4583-4593, 2020	59*	2020
Finite regret and cycles with fixed step-size via alternating gradient descent-ascent JP Bailey, G Gidel, G Piliouras Conference on Learning Theory, 391-407, 2020	59	2020
Adversarial example games AJ Bose, G Gidel, H Berard, A Cianflone, P Vincent, S Lacoste-Julien, ... NeurIPS 2020, 2020	46	2020
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	44	2020
Stochastic gradient descent-ascent and consensus optimization for smooth games: Convergence analysis under expected co-coercivity N Loizou, H Berard, G Gidel, I Mitliagkas, S Lacoste-Julien Advances in Neural Information Processing Systems 34, 19095-19108, 2021	35	2021
Adaptive Three Operator Splitting F Pedregosa, G Gidel ICML 2018 - Proceedings of the 35rd International Conference on Machine Learning, 2018	35	2018
Frank-Wolfe Splitting via Augmented Lagrangian Method G Gidel, F Pedregosa, S Lacoste-Julien AISTATS 2018 - Proceedings of the 21st International Conference on …, 2018	29	2018
Stochastic extragradient: General analysis and improved rates E Gorbunov, H Berard, G Gidel, N Loizou International Conference on Artificial Intelligence and Statistics, 7865-7901, 2022	23	2022
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	21	2021

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