We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
This paper presents a novel architectural technique to hide fetch latency overhead of hardware encrypted and authenticated memory. A number of recent secure processor designs have...
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Background: The development of high-throughput technologies has produced several large scale protein interaction data sets for multiple species, and significant efforts have been ...
The software development process imposes major impacts on the quality of software at every development stage; therefore, a common goal of each software development phase concerns ...