This paper considers online stochastic optimization problems where uncertainties are characterized by a distribution that can be sampled and where time constraints severely limit t...
Abstract. We present a deterministic black box solution for online approximate matching. Given a pattern of length m and a streaming text of length n that arrives one character at ...
This paper considers online stochastic optimization problems where time constraints severely limit the number of offline optimizations which can be performed at decision time and/...
We consider the rooted orienteering problem: Given a set P of n points in the plane, a starting point r P, and a length constraint B, one needs to find a path starting from r tha...
Given a set A of m agents and a set I of n items, where agent A ∈ A has utility uA,i for item i ∈ I, our goal is to allocate items to agents to maximize fairness. Specificall...
Deeparnab Chakrabarty, Julia Chuzhoy, Sanjeev Khan...