Yani Ioannou

Bounding generalization error with input compression: An empirical study with infinite-width networks

2022 · arXiv (Cornell University)

Estimating the Generalization Error (GE) of Deep Neural Networks (DNNs) is an important task that often relies on availability of held-out data. The ability to better predict GE based on a single training set may …

Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win

2020 · arXiv (Cornell University)

Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win - AAAI 2022 Poster