
Acceleration Methods
This monograph covers some recent advances on a range of acceleration te...
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Generalization of QuasiNewton Methods: Application to Robust Symmetric Multisecant Updates
QuasiNewton techniques approximate the Newton step by estimating the He...
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Averagecase Acceleration for Bilinear Games and Normal Matrices
Advances in generative modeling and adversarial learning have given rise...
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Averagecase Acceleration Through Spectral Density Estimation
We develop a framework for designing optimal quadratic optimization meth...
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Accelerating Smooth Games by Manipulating Spectral Shapes
We use matrix iteration theory to characterize acceleration in smooth ga...
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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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Nonlinear Acceleration of CNNs
The Regularized Nonlinear Acceleration (RNA) algorithm is an acceleratio...
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Nonlinear Acceleration of Deep Neural Networks
Regularized nonlinear acceleration (RNA) is a generic extrapolation sche...
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Damien Scieur
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