We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Very thorough online self-test is essential for overcoming major reliability challenges such as early-life failures and transistor aging in advanced technologies. This paper demon...
We introduce an efficient algorithm for the problem of online linear optimization in the bandit setting which achieves the optimal O ( T) regret. The setting is a natural general...
On-line programming tests and examinations were administered to approximately 120 first year computer science students in order to evaluate their practical skills. We describe ou...
Current online stores suffer from a cardinal problem. There are too many products to offer, and customers find themselves lost due to the vast selection. As opposed to traditional ...