We present a bandit algorithm, SAO (Stochastic and Adversarial Optimal), whose regret is, essentially, optimal both for adversarial rewards and for stochastic rewards. Specifical...
The purpose of this paper is to address some criticisms recently raised by John Horty in two articles against the validity of two commonly accepted defeasible reasoning patterns, ...
Abstract. Logic Programming paradigms that allow for expressing preferences have drawn a lot of research interest over the last years. Among them, the principle of ordered disjunct...
Wh-phrases in English have two important properties: first, they can appear both raised and in-situ; second, while in-situ wh-phrases can take semantic scope beyond the immediately...
Research on bias in machine learning algorithms has generally been concerned with the impact of bias on predictive accuracy. We believe that there are other factors that should al...