Significant power savings can be achieved on voltage/frequency configurable platforms by dynamically adapting the frequency and voltage according to the workload (complexity). Vid...
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Abstract. This paper offers a critique of the framework of Constraint Satisfaction Problems. While this framework has been successful in studying search techniques, and has inspire...
Abstract. Set agreement is a fundamental problem in distributed computing in which processes collectively choose a small subset of values from a larger set of proposals. The imposs...
Dan Alistarh, Seth Gilbert, Rachid Guerraoui, Core...