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Quanquan Gu: Learning Over-parameterized Neural Networks: From Neural Tangent Kernel to Mean-fi...
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Probabilistic ML - Lecture 10 - Understanding Kernels
Overparameterization of Deep ResNet: Zero Loss and Mean-Field Analysis --- Zhiyan Ding
Deep Kernel Learning - 1
Boris Hanin - NTK in ReLU Nets with Finite Depth and Width
Deep Kernel Processes
A function space view of overparameterized neural networks - Rebecca Willet, University of Chicago
[ICML 2020] Empirical Study: the Benefits of Overparameterization in Learning Latent Variable Models
The Power and Limitations of Kernel Learning
Deep Double Descent and Overparameterization: Classical Machine Learning vs. Modern Deep Learning
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Last Updated: August 17, 2026
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![[ICML 2020] Empirical Study: the Benefits of Overparameterization in Learning Latent Variable Models](https://i.ytimg.com/vi/qAVC8iycaj0/mqdefault.jpg)
