activity
20202026
most citedOnline List Labeling with Predictions

2 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.DS2026

Incremental Strongly Connected Components with Predictions

Ronald Deng, Samuel McCauley, Aidin Niaparast +5

Algorithms with predictions is a growing area that aims to leverage machine-learned predictions to design faster beyond-worst-case algorithms. In this paper, we use this framework…

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.LG2024

Binary Search with Distributional Predictions

Michael Dinitz, Sungjin Im, Thomas Lavastida +3

Algorithms with (machine-learned) predictions is a powerful framework for combining traditional worst-case algorithms with modern machine learning. However, the vast majority of wo…

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…

cs.DS2023★ 2 cited

Online List Labeling with Predictions

Samuel McCauley, Benjamin Moseley, Aidin Niaparast +1

A growing line of work shows how learned predictions can be used to break through worst-case barriers to improve the running time of an algorithm. However, incorporating prediction…

cs.SI2021

Timeliness Through Telephones: Approximating Information Freshness in Vector Clock Models

Da Qi Chen, Lin An, Aidin Niaparast +2

We consider an information dissemination problem where the root of an undirected graph constantly updates its information. The goal is to keep every other node in the graph about t…

math.CO2020

On a question of Haemers regarding vectors in the nullspace of Seidel matrices

Saieed Akbari, Sebastian M. Cioabă, Samira Goudarzi +2

In 2011, Haemers asked the following question: If is the Seidel matrix of a graph of order and is singular, does there exist an eigenvector of corresponding to …