no code implementations • 19 Dec 2023 • Xinying Zou, Samir M. Perlaza, Iñaki Esnaola, Eitan Altman
Fundamental generalization metrics, such as the sensitivity of the expected loss, the sensitivity of the empirical risk, and the generalization gap are shown to have closed-form expressions involving the worst-case data-generating probability measure.
no code implementations • 31 Oct 2021 • S. Ramakrishnan, Jaswanthi Mandalapu, Subrahmanya Swamy Peruru, Bhavesh Jain, Eitan Altman
In this work, we propose a Graph Convolutional Neural Networks (GCN) based scheduling algorithm for adhoc networks.