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A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets.

G. Gidel, D. Balduzzi, W. Czarnecki, M. Garnelo, and Y. Bachrach. AISTATS, volume 130 of Proceedings of Machine Learning Research, page 2548-2556. PMLR, (2021)

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Yvan Gauthier

Yvon Gauthier

Elodie Gauthier

Gauthier Doquire

Gauthier Picard

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Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates.S. Vaswani, A. Mishkin, I. Laradji, M. Schmidt, G. Gidel, and S. Lacoste-Julien. NeurIPS, page 3727-3740. (2019)Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity.N. Loizou, H. Berard, G. Gidel, I. Mitliagkas, and S. Lacoste-Julien. NeurIPS, page 19095-19108. (2021)Adversarial Example Games.A. Bose, G. Gidel, H. Berard, A. Cianflone, P. Vincent, S. Lacoste-Julien, and W. Hamilton. NeurIPS, (2020)A Persuasive Approach to Combating Misinformation.S. Hossain, A. Mladenovic, Y. Chen, and G. Gidel. CoRR, (2023)Proving Linear Mode Connectivity of Neural Networks via Optimal Transport.D. Ferbach, B. Goujaud, G. Gidel, and A. Dieuleveut. CoRR, (2023)High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise.E. Gorbunov, A. Sadiev, M. Danilova, S. Horváth, G. Gidel, P. Dvurechensky, A. Gasnikov, and P. Richtárik. CoRR, (2023)Proceedings of the ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts.A. Baird, P. Tzirakis, G. Gidel, M. Jiralerspong, E. Muller, K. Mathewson, B. Schuller, E. Cambria, D. Keltner, and A. Cowen. CoRR, (2022)Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity.M. Garnelo, W. Czarnecki, S. Liu, D. Tirumala, J. Oh, G. Gidel, H. van Hasselt, and D. Balduzzi. AAMAS, page 1501-1503. ACM, (2021)Adaptive Three Operator Splitting.F. Pedregosa, and G. Gidel. ICML, volume 80 of Proceedings of Machine Learning Research, page 4082-4091. PMLR, (2018)A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games.W. Azizian, I. Mitliagkas, S. Lacoste-Julien, and G. Gidel. AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2863-2873. PMLR, (2020)

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Disambiguation of "Gidel, Gauthier"

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A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets.

Please choose a person to relate this publication to

Yvan Gauthier

Yvon Gauthier

Elodie Gauthier

Gauthier Doquire

Gauthier Picard

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gidel, Gauthier"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets.

Please choose a person to relate this publication to

Yvan Gauthier

Yvon Gauthier

Elodie Gauthier

Gauthier Doquire

Gauthier Picard

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets.