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cs.LG2025
On the Convergence of Overparameterized Problems: Inherent Properties of the Compositional Structure of Neural Networks
Arthur Castello Branco de Oliveira, Dhruv Jatkar, Eduardo Sontag
This paper investigates how the compositional structure of neural networks shapes their optimization landscape and training dynamics. We analyze the gradient flow associated with o…
cs.LG2023★ 2 cited
On the ISS Property of the Gradient Flow for Single Hidden-Layer Neural Networks with Linear Activations
Arthur Castello B. de Oliveira, Milad Siami, Eduardo D. Sontag
Recent research in neural networks and machine learning suggests that using many more parameters than strictly required by the initial complexity of a regression problem can result…