Hossein Taheri

Generalization and Stability of Interpolating Neural Networks with Minimal Width

2023 · arXiv (Cornell University)

We investigate the generalization and optimization properties of shallow neural-network classifiers trained by gradient descent in the interpolating regime. Specifically, in a realizable scenario where model weights can achieve arbitrarily small training error $ε$ and …

On the Theory of Continual Learning with Gradient Descent for Neural Networks

2025 · arXiv (Cornell University)

Continual learning, the ability of a model to adapt to an ongoing sequence of tasks without forgetting earlier ones, is a central goal of artificial intelligence. To better understand its underlying mechanisms, we study the …