Learning paradigms based purely on offline data as well as those based s...
We revisit the classic regret-minimization problem in the stochastic
mul...
Conditional value-at-risk (CVaR) and value-at-risk (VaR) are popular
tai...
We highlight the usefulness of city-scale agent-based simulators in stud...
Given a finite set of unknown distributions or arms that can be
sampled ...