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cs.LG2026
Bridging Neural Tangent Kernel Analysis and Reinforcement Learning for Deep Function Approximation
William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi
Despite their widespread success across machine learning, the learning dynamics and generalization properties of neural networks remain poorly understood. The neural tangent kernel…
cs.LG2025
Revisiting the Neural Tangent Kernel: the role of large width and depth
William St-Arnaud, Margarida Carvalho, Golnoosh Farnadi
Overparameterized fully-connected neural networks have been shown to behave like kernel models when trained with gradient descent, assuming standard scaling conditions on the width…