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Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review

, , , , and . International Journal of Automation and Computing, (2017)

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Solving Structured Sparsity Regularization with Proximal Methods., , , , and . ECML/PKDD (2), volume 6322 of Lecture Notes in Computer Science, page 418-433. Springer, (2010)Generalization Properties and Implicit Regularization for Multiple Passes SGM., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 2340-2348. JMLR.org, (2016)NYTRO: When Subsampling Meets Early Stopping., , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1403-1411. JMLR.org, (2016)Statistical and Computational Trade-Offs in Kernel K-Means., and . CoRR, (2019)Kernels for Vector-Valued Functions: a Review, , and . CoRR, (2011)Constructing fast approximate eigenspaces with application to the fast graph Fourier transforms., and . CoRR, (2020)Mathematics of the Neural Response., , , , and . Found. Comput. Math., 10 (1): 67-91 (2010)Theory of Deep Learning III: explaining the non-overfitting puzzle., , , , , , , and . CoRR, (2018)Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization., , , and . CoRR, (2021)On Learnability, Complexity and Stability., , and . Empirical Inference, page 59-69. Springer, (2013)