most citedA Simple Learning-Augmented Algorithm for Online Packing with Concave Objectives

1 citations · 2 across the 4 of their papers we have counts for

collaborators

8 papers

cs.DS2026

Space-Efficient Hierholzer for Undirected Graphs

Elena Grigorescu, Ziad Ismaili Alaoui, Tamio-Vesa Nakajima +2

We present a simple linear-time algorithm that outputs an Eulerian tour of an undirected multigraph with vertices and edges, if one exists, in time and using …

cs.DS2026

A Linear-Time Approximation Scheme for the Densest Subgraph Problem

Elena Grigorescu, Mehrshad Taziki

In the undirected \emph{Densest Subgraph Problem (DSG)} the goal is to output a subset of vertices of a given graph that maximizes the quantity , where i…

cs.DS2026

Testing the Independent Set Property in Hypergraphs

Elena Grigorescu, Shreya Nasa, Cameron Seth

The optimal sample complexity of testing if an -vertex graph has an independent set of size , or is -far from having an independent set of size , was establ…

cs.DS2024

Routing-Controlled Spanners

Elena Grigorescu, Nithish Kumar Kumar, Young-San Lin

Designing sparse directed spanners, which are subgraphs that approximately maintain distance constraints, has attracted sustained interest in TCS, especially due to their wide appl…

cs.DS2024★ 1 cited

Learning-Augmented Algorithms for Online Concave Packing and Convex Covering Problems

Elena Grigorescu, Young-San Lin, Maoyuan Song

Learning-augmented algorithms have been extensively studied across the computer science community in the recent years, driven by advances in machine learning predictors, which can…

cs.DS2024

Differential privacy and Sublinear time are incompatible sometimes

Jeremiah Blocki, Hendrik Fichtenberger, Elena Grigorescu +1

Differential privacy and sublinear algorithms are both rapidly emerging algorithmic themes in times of big data analysis. Although recent works have shown the existence of differen…

cs.DS2024★ 1 cited

A Simple Learning-Augmented Algorithm for Online Packing with Concave Objectives

Elena Grigorescu, Young-San Lin, Maoyuan Song

Learning-augmented algorithms has been extensively studied recently in the computer-science community, due to the potential of using machine learning predictions in order to improv…

cs.DS2024

Directed Buy-at-Bulk Spanners

Elena Grigorescu, Nithish Kumar, Young-San Lin

We present a framework that unifies directed buy-at-bulk network design and directed spanner problems, namely, buy-at-bulk spanners. The goal is to find a minimum-cost routing solu…