We formulate and study a new variant of the k-armed bandit problem, motivated by e-commerce applications. In our model, arms have (stochastic) lifetime after which they expire. In...
Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski,...
Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
Abstract--In wireless networks, important network functionalities such as power control, rate allocation, routing, and congestion control must be optimized in a coherent and integr...
Abstract. Today’s software systems are becoming increasingly configurable and designed for deployment on a plethora of architectures, ranging from sequential machines via multic...
Einar Broch Johnsen, Olaf Owe, Rudolf Schlatte, Si...
The refinement calculus of Back, Morgan, Morris, and others is based on monotone predicate transformers (weakest preconditions) where conjunctions stand for demonic choices betwee...