In our field of applied mathematics, the long, human process of trial and error — not just the solutions themselves — is often what has led to progress.

This paper considers using predictions in the context of the online Joint Replenishment Problem with Deadlines (JRP-D). Prior work includes asymptotically optimal competitive ratios of $O(1)$ for the ...

The Johns Hopkins University Data Science and AI Institute welcomes applications for its Postdoctoral Fellowship program, seeking disciplinarily diverse scholars to advance foundational methods of dat...

A campaign opposing Princeton's new dining policy that could damage Princeton forever.

Synthetically-generated data plays an increasingly larger role in training large language models. However, while synthetic data has been found to be useful, studies have also shown that without proper...

The Directed Steiner Tree (DST) problem is defined on a directed graph $G=(V,E)$, where we are given a designated root vertex $r$ and a set of $k$ terminals $K \subseteq V \setminus {r}$. The goal is ...

The killing of UnitedHealthcare CEO Brian Thompson earlier this month has ignited moral debate around the world. Many have condemned the killing as they would any other murder. Others, though, have th...

Algorithms with (machine-learned) predictions is a powerful framework for combining traditional worst-case algorithms with modern machine learning. However, the vast majority of work in this space ass...