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Many results in recent years established polynomial time learnability of various models via neural networks algorithms.
Computation with infinite neural networks
C.K.I. Williams · 1997
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A. Rahimi and B. Recht · 2009
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X. Glorot and Y. Bengio · 2010
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Introduction to the non-asymptotic analysis of random matrices
Roman Vershynin · 2010
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Learning polynomials with neural networks
A. Andoni, R. Panigrahy, G. Valiant, and L. Zhang · 2014
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Understanding Machine Learning: From Theory to Algorithms
S. Shalev-Shwartz and S. Ben-David · 2014
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Toward deeper understanding of neural networks: The power of initialization and a dual view on expressivity
Amit Daniely, Roy Frostig, and Yoram Singer · 2016
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Mildly overparametrized neural nets can memorize training data efficiently
Rong Ge, Runzhe Wang, and Haoyu Zhao · 2019
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Quadratic suffices for over-parametrization via matrix chernoff bound
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Yuan Cao and Quanquan Gu · 2019
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Difan Zou and Quanquan Gu · 2019
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