40 citations · 106 across the 28 of their papers we have counts for
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cs.LG2020★ 2 cited
Dual Averaging is Surprisingly Effective for Deep Learning Optimization
Samy Jelassi, Aaron Defazio
First-order stochastic optimization methods are currently the most widely used class of methods for training deep neural networks. However, the choice of the optimizer has become a…
cs.GT2020★ 6 cited
A Permutation-Equivariant Neural Network Architecture For Auction Design
Jad Rahme, Samy Jelassi, Joan Bruna +1
Designing an incentive compatible auction that maximizes expected revenue is a central problem in Auction Design. Theoretical approaches to the problem have hit some limits in the…
cs.LG2020★ 8 cited
A mean-field analysis of two-player zero-sum games
Carles Domingo-Enrich, Samy Jelassi, Arthur Mensch +2
Finding Nash equilibria in two-player zero-sum continuous games is a central problem in machine learning, e.g. for training both GANs and robust models. The existence of pure Nash…