Correlated Initialization for Correlated Data

Author:

Schneider Johannes

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Reference29 articles.

1. Advani MS, Saxe AM, Sompolinsky H (2020) High-dimensional dynamics of generalization error in neural networks. Neural Netw 132:428–446

2. Aguirre D, Fuentes O (2019) Improving weight initialization of relu and output layers In: International Conference on Artificial Neural Networks, pp 170–184

3. Arpit D, Bengio Y (2019) The benefits of over-parameterization at initialization in deep relu networks arXiv preprint arXiv:1901.03611 (2019)

4. Balduzzi D, Frean M, Leary L, Lewis J, Ma KWD, McWilliams B (2017) The shattered gradients problem: if resnets are the answer then what is the question? In: Proc of the International Conference on Machine Learning (ICML)

5. Chen H, Zheng L, Al Kontar R, Raskutti G (2020) Stochastic gradient descent in correlated settings: a study on gaussian processes Adv Neural Information Process Syst

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