Standard experimental designs are geared toward point estimation and hypothesis testing, while bandit algorithms are geared toward in-sample outcomes. Here, we instead consider treatment assignment in ...

We consider the two-level uncapacitated facility location problem with single-assignment constraints (TUFLP-S), a problem that arises in industrial applications in freight transportation and ...

The researchers are seeking to address these concerns and make QKD viable by introducing a new metric called "maximum number ...

What does proof-of-assignment algorithm actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.