
Dual Averaging is Surprisingly Effective for Deep Learning Optimization
Firstorder stochastic optimization methods are currently the most widel...
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Auction learning as a twoplayer game
Designing an incentive compatible auction that maximizes expected revenu...
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A PermutationEquivariant Neural Network Architecture For Auction Design
Designing an incentive compatible auction that maximizes expected revenu...
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A meanfield analysis of twoplayer zerosum games
Finding Nash equilibria in twoplayer zerosum continuous games is a cen...
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Towards closing the gap between the theory and practice of SVRG
Among the very first variance reduced stochastic methods for solving the...
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Extragradient with player sampling for provable fast convergence in nplayer games
Datadriven model training is increasingly relying on finding Nash equil...
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Global convergence of neuron birthdeath dynamics
Neural networks with a large number of parameters admit a meanfield des...
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Smoothed analysis of the lowrank approach for smooth semidefinite programs
We consider semidefinite programs (SDPs) of size n with equality constra...
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Samy Jelassi
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