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A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Free accessArXiv | 2017| -
An efficient nonconvex reformulation of stagewise convex optimization problems
Free accessArXiv | 2020| -
Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form
Free accessArXiv | 2018| -
Provable compressed sensing quantum state tomography via non-convex methods
Free accessSpringer Verlag | 2018| -
Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks
Free accessArXiv | 2018|
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