We introduce an exploration scheme aimed at learning advertiser click-through rates in sponsored search auctions with minimal effect on advertiser incentives. The scheme preserves...
Jennifer Wortman, Yevgeniy Vorobeychik, Lihong Li,...
In this paper we present VOCUS: a robust computational attention system for goal-directed search. A standard bottom-up architecture is extended by a top-down component, enabling th...
Policy search is a successful approach to reinforcement learning. However, policy improvements often result in the loss of information. Hence, it has been marred by premature conv...
Learning from end-users is essential to participatory design. In order to learn from end-users we need to find end-users to collaborate with. However, finding end-users can be the...
Rachel K. E. Bellamy, Tracee Vetting Wolf, Rhonda ...
Abstract— In this paper, we introduce a novel preimage computation technique that directly computes the circuit cofactors without an explicit search for any satisfiable solution...