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...
The nation-wide lockdown starting 25 March 2020, aimed at suppressing th...
We consider the problem of designing an adaptive sequence of questions t...
Given a finite set of unknown distributions or arms that can be
sampled ...
Many simulation problems require the estimation of a ratio of two
expect...
Given a vector of probability distributions, or arms, each of which can ...