Conditional quantile prediction involves estimating/predicting the quantile of a response random variable conditioned on observed covariates. The existing literature assumes the availability of independent and identically distributed (i.i.d.) samples of both the covariates and the response...

Bin packing is an algorithmic problem that arises in diverse applications such as remnant inventory systems, shipping logistics, and appointment scheduling. In its simplest variant, a sequence of T items (e.g., orders for raw material, packages for delivery) is revealed one at a time, and each...

We consider a discrete time network inventory management problem on a hub-and-spoke network. Each period begins with an initial inventory at each of the nodes in the network, after which the customers (demand) materialize at the nodes. Each customer picks up a unit at the origin node and drops...