Abstract. This paper extends existing models for collaborative systems. We investigate how much damage can be done by insiders alone, without collusion with an outside adversary. I...
Max I. Kanovich, Tajana Ban Kirigin, Vivek Nigam, ...
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
Linearizability is a key design methodology for reasoning about tations of concurrent abstract data types in both shared memory and message passing systems. It provides the illusi...
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...