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2212.13848
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Learning Lipschitz Functions by GD-trained Shallow Overparameterized ReLU Neural Networks
28 December 2022
Ilja Kuzborskij
Csaba Szepesvári
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Papers citing
"Learning Lipschitz Functions by GD-trained Shallow Overparameterized ReLU Neural Networks"
5 / 5 papers shown
Title
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization
Yutong Wang
Rishi Sonthalia
Wei Hu
25
2
0
12 Mar 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
Yinbin Han
Meisam Razaviyayn
Renyuan Xu
DiffM
27
12
0
28 Jan 2024
Fine-grained analysis of non-parametric estimation for pairwise learning
Junyu Zhou
Shuo Huang
Han Feng
Puyu Wang
Ding-Xuan Zhou
14
1
0
31 May 2023
Learning Single-Index Models with Shallow Neural Networks
A. Bietti
Joan Bruna
Clayton Sanford
M. Song
150
65
0
27 Oct 2022
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
Quynh N. Nguyen
23
49
0
24 Jan 2021
1