Controlling the complexity and lipschitz constant improves polynomial nets

Z Zhu, F Latorre, GG Chrysos, V Cevher - arXiv preprint arXiv:2202.05068, 2022 - arxiv.org
While the class of Polynomial Nets demonstrates comparable performance to neural
networks (NN), it currently has neither theoretical generalization characterization nor …
被引用次数：12 相关文章

Controlling the Complexity and Lipschitz Constant improves polynomial nets

Z Zhu, F Latorre, GG Chrysos, V Cevher - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
While the class of Polynomial Nets demonstrates comparable performance to neural
networks (NN), it currently has neither theoretical generalization characterization nor …

Controlling the Complexity and Lipschitz Constant improves Polynomial Nets

Z Zhu, F Latorre, G Chrysos, V Cevher - International Conference on … - openreview.net
While the class of Polynomial Nets demonstrates comparable performance to neural
networks (NN), it currently has neither theoretical generalization characterization nor …

Controlling the Complexity and Lipschitz Constant improves Polynomial Nets

Z Zhu, F Latorre, G Chrysos… - … Conference on Learning …, 2022 - infoscience.epfl.ch
While the class of Polynomial Nets demonstrates comparable performance to neural
networks (NN), it currently has neither theoretical generalization characterization nor …

[引用][C] CONTROLLING THE COMPLEXITY AND LIPSCHITZ CONSTANT IMPROVES POLYNOMIAL NETS

Z Zhu, F Latorre, GG Chrysos, V Cevher