2 papers
cs.LG2024
The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information
Diyuan Wu, Ionut-Vlad Modoranu, Mher Safaryan +2
The rising footprint of machine learning has led to a focus on imposing \emph{model sparsity} as a means of reducing computational and memory costs. For deep neural networks (DNNs)…
cs.IT2021
On conditional Sibson's -Mutual Information
Amedeo Roberto Esposito, Diyuan Wu, Michael Gastpar
In this work, we analyse how to define a conditional version of Sibson's -Mutual Information. Several such definitions can be advanced and they all lead to different information…