activity
20072024
most citedSubmodular Function Maximization via the Multilinear Relaxation and Contention Resolution Schemes

68 citations · 265 across the 47 of their papers we have counts for

collaborators

56 papers

cs.DS2024★ 1 cited

Approximation Algorithms for Network Design in Non-Uniform Fault Models

Chandra Chekuri, Rhea Jain

The Survivable Network Design problem (SNDP) is a well-studied problem, motivated by the design of networks that are robust to faults under the assumption that any subset of edges…

cs.DS2023

Adaptive Out-Orientations with Applications

Chandra Chekuri, Aleksander Bjørn Christiansen, Jacob Holm +4

We give improved algorithms for maintaining edge-orientations of a fully-dynamic graph, such that the out-degree of each vertex is bounded. On one hand, we show how to orient the e…

cs.DS2023

Independent Sets in Elimination Graphs with a Submodular Objective

Chandra Chekuri, Kent Quanrud

Maximum weight independent set (MWIS) admits a -approximation in inductively -independent graphs and a -approximation in -perfectly orientable graphs.…

cs.DC2023

Efficient parallel implementation of the multiplicative weight update method for graph-based linear programs

Caleb Ju, Serif Yesil, Mengyuan Sun +2

Positive linear programs (LPs) model many graph and operations research problems. One can solve for a -approximation for positive LPs, for any selected , in polylogarithm…

cs.DS2023★ 2 cited

On the Generalized Mean Densest Subgraph Problem: Complexity and Algorithms

Chandra Chekuri, Manuel R. Torres

Dense subgraph discovery is an important problem in graph mining and network analysis with several applications. Two canonical problems here are to find a maxcore (subgraph of maxi…

cs.DS2023

Convergence to Lexicographically Optimal Base in a (Contra)Polymatroid and Applications to Densest Subgraph and Tree Packing

Elfarouk Harb, Kent Quanrud, Chandra Chekuri

Boob et al. [1] described an iterative peeling algorithm called Greedy++ for the Densest Subgraph Problem (DSG) and conjectured that it converges to an optimum solution. Chekuri, Q…