We propose two local consistencies that extend bounds consistency (BC) by simultaneously considering combinations of constraints as opposed to single constraints. We prove that th...
Christian Bessiere, Anastasia Paparrizou, Kostas S...
Knowledge compilation is a powerful reasoning paradigm with many applications across AI and computer science more broadly. We consider the problem of bottom-up compilation of know...
Layered learning is a hierarchical machine learning paradigm that enables learning of complex behaviors by incrementally learning a series of sub-behaviors. A key feature of layer...
Civil unrest (protests, strikes, and “occupy” events) is a common occurrence in both democracies and authoritarian regimes. The study of civil unrest is a key topic for politi...
In order to advance action generation and creation in robots beyond simple learned schemas we need computational tools that allow us to automatically interpret and represent human...
In a classic result in the mechanism design literature, Cremer and McLean (1985) show that if buyers’ valuations are sufficiently correlated, a mechanism exists that allows the...
In this paper we present a plan-plan distance metric based on Kolmogorov (Algorithmic) complexity. Generating diverse sets of plans is useful for tasks such as probing user prefer...
Study of the human brain through fMRI can potentially benefit the pursuit of artificial intelligence. Four examples are presented. First, fMRI decoding of the brain activity of ...
In online bandit learning, the learner aims to minimize a sequence of losses, while only observing the value of each loss at a single point. Although various algorithms and theori...
Lijun Zhang 0005, Tianbao Yang, Rong Jin, Zhi-Hua ...