Abstract. We study the fundamental problem of computing an arbitrary Nash equilibrium in bimatrix games. We start by proposing a novel characterization of the set of Nash equilibri...
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
The increasing availability of network data is creating a great potential for knowledge discovery from graph data. In many applications, feature vectors are given in addition to g...
Arash Rafiey, Flavia Moser, Martin Ester, Recep Co...
Trust management is a form of access control that uses delegation to achieve scalability beyond a single organization or federation. However, delegation can be difficult to contr...
While application end-point architectures have proven to be viable solutions for large-scale distributed applications such as distributed computing and file-sharing, there is lit...
Kunwadee Sripanidkulchai, Aditya Ganjam, Bruce M. ...