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Why deep neural networks (DNNs) capable of overfitting often generalize well in practice is a mystery [#zhang2016understanding].
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Yen, J.: On nonuniform sampling of bandwidth-limited signals. IRE Transactions on circuit theory 3
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Lin, J., Camoriano, R., Rosasco, L.: Generalization properties and implicit regularization for multiple passes sgm. In: International Conference on Machine Learning. pp. 2340–2348 (2016)
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Saxe, A.M., Bansal, Y., Dapello, J., Advani, M.: On the information bottleneck theory of deep learning. International Conference on Learning Representations (2018)
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Barnett, A., Greengard, L., Pataki, A., Spivak, M.: Rapid solution of the cryo-em reconstruction problem by frequency marching. SIAM Journal on Imaging Sciences 10
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