activity
20242026
most citedBest of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DS2026

Bayesian Probing on Graphs

Anupam Gupta, Benjamin Moseley, Rudy Zhou

We introduce a stochastic probing problem with correlated items. In our model, which we call Bayesian Probing, the correlations are modeled by an underlying graph . Each vertex…

cs.GT2026

Stable Matching with Predictions: Robustness and Efficiency under Pruned Preferences

Samuel McCauley, Benjamin Moseley, Helia Niaparast +1

In this paper, we study the fundamental problem of finding a stable matching in two-sided matching markets. In the classic variant, it is assumed that both sides of the market subm…

cs.DS2025

Faster Global Minimum Cut with Predictions

Benjamin Moseley, Helia Niaparast, Karan Singh

Global minimum cut is a fundamental combinatorial optimization problem with wide-ranging applications. Often in practice, these problems are solved repeatedly on families of simila…

cs.DS2025

Incremental Approximate Single-Source Shortest Paths with Predictions

Samuel McCauley, Benjamin Moseley, Aidin Niaparast +2

The algorithms-with-predictions framework has been used extensively to develop online algorithms with improved beyond-worst-case competitive ratios. Recently, there is growing inte…

cs.DS2024

Putting Off the Catching Up: Online Joint Replenishment Problem with Holding and Backlog Costs

Benjamin Moseley, Aidin Niaparast, R. Ravi

We study an online generalization of the classic Joint Replenishment Problem (JRP) that models the trade-off between ordering costs, holding costs, and backlog costs in supply chai…

cs.DS2024

Incremental Topological Ordering and Cycle Detection with Predictions

Samuel McCauley, Benjamin Moseley, Aidin Niaparast +1

This paper leverages the framework of algorithms-with-predictions to design data structures for two fundamental dynamic graph problems: incremental topological ordering and cycle d…

math.OC2024★ 1 cited

Best of Many in Both Worlds: Online Resource Allocation with Predictions under Unknown Arrival Model

Lin An, Andrew A. Li, Benjamin Moseley +1

Online decision-makers often obtain predictions on future variables, such as arrivals, demands, inventories, and so on. These predictions can be generated from simple forecasting a…