Control of networks like those for transportation, power distribution, communication to name a few, provides challenges to planning and scheduling. Many problems can be defined in ...
We further develop the idea that the PAC-Bayes prior can be informed by the data-generating distribution. We prove sharp bounds for an existing framework of Gibbs algorithms, and ...
In order to teach object-oriented design and programming in introductory computer science it is imperative to teach objects from the very beginning of the course. The use of inter...
This paper describes a method for structuring a robot motor learning task. By designing a suitably parameterized policy, we show that a simple search algorithm, along with biologi...
This paper is part of a project to match descriptions of real-world instances and probabilistic models, both of which can be described at mulvel of abstraction and detail. We use ...