Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension

Neural Information Processing Systems 

While initial breakthroughs on the convergence of gradient optimization in neural networks (Li & Liang, 2018; Du et al., 2019a; Allen-Zhu et al., 2019) required unrealistic conditions on the

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