While methods for optimization under uncertainty have been studied intensely over the past
decades, the explicit consideration of the interplay between uncertainty and time has gained …

This paper surveys the literature devoted to online algorithms for conversion problems. We
attempt to unify the terminology and the notation, while introducing the existing results based …

This paper leverages machine-learned predictions to design competitive algorithms for
online conversion problems with the goal of improving the competitive ratio when …

We introduce and study the online pause and resume problem. In this problem, a player
attempts to find the k lowest (alternatively, highest) prices in a sequence of fixed length T …

Finance is about managing money. It is about making provisions and allocations of funds for
a business project with an assessment of risks and benefits. There are several instruments …

We introduce and study online conversion with switching costs, a family of online problems
that capture emerging problems at the intersection of energy and sustainability. In this …

The fluctuations of electricity prices in demand response schemes and intermittency of
renewable energy supplies necessitate the adoption of energy storage in microgrids …

In the online (time-series) search problem, a player is presented with a sequence of prices
which are revealed in an online manner. In the standard definition of the problem, for each …

This paper studies online optimization under inventory (budget) constraints. While online
optimization is a well-studied topic, versions with inventory constraints have proven difficult …

Energy efficiency is a contemporary and challenging issue in geographically distributed data
centers. These data centers consume significantly high energy and cast a negative impact …