3 papers
cs.LG2020
Learning from Non-Random Data in Hilbert Spaces: An Optimal Recovery Perspective
Simon Foucart, Chunyang Liao, Shahin Shahrampour +1
The notion of generalization in classical Statistical Learning is often attached to the postulate that data points are independent and identically distributed (IID) random variable…
eess.SP2019
Cell Association via Boundary Detection: A Scalable Approach Based on Data-Driven Random Features
Yinsong Wang, Hessam Mahdavifar, Kamran Entesari +1
The problem of cell association is considered for cellular users present in the field. This has become a challenging problem with the deployment of 5G networks which will share the…
eess.SY2019
Distributed Parameter Estimation in Randomized One-hidden-layer Neural Networks
Yinsong Wang, Shahin Shahrampour
This paper addresses distributed parameter estimation in randomized one-hidden-layer neural networks. A group of agents sequentially receive measurements of an unknown parameter th…