Danny Tsang

Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems

This paper leverages machine-learned predictions to design competitive algorithms for online conversion problems with the goal of improving the competitive ratio when predictions are accurate (i.e., consistency), while also guaranteeing a worst-case competitive ratio regardless of the prediction qua…