We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
We consider the problem of computing optimal schedules in multi-agent systems. In these problems, actions of one agent can influence the actions of other agents, while the object...
Willem Jan van Hoeve, Carla P. Gomes, Bart Selman,...
Most languages used for developing web services and clients exhibit properties which make calling remote functions across a network a non-trivial task. The type systems used by ob...
Peter M. Kelly, Paul D. Coddington, Andrew L. Wend...
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
In object oriented languages, dynamic memory allocation is a fundamental concept. When using such a language in hard real-time systems, it becomes important to bound both the worst...
Wolfgang Puffitsch, Benedikt Huber, Martin Schoebe...