The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks

The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks
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合并阶梯性质:两层神经网络稀疏函数SGD学习的必要且近充分条件

DOI:
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发表时间:
2022
期刊:
Proceedings of Thirty Fifth Conference on Learning Theory
影响因子:
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通讯作者:
T. Misiakiewicz
T. Misiakiewicz
中科院分区:
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文献类型:
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作者:
Abbe, E.;Boix-Adsera, E;T. Misiakiewicz

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