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20072026
most citedFast Local Computation Algorithms

54 citations · 104 across the 31 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.DS2025

No Price Tags? No Problem: Query Strategies for Unpriced Information

Shivam Nadimpalli, Mingda Qiao, Ronitt Rubinfeld

The classic *priced query model*, introduced by Charikar et al. (STOC 2000), captures the task of computing a known function on an unknown input when each input variable can only b…

cs.DS2025

Testable algorithms for approximately counting edges and triangles in sublinear time and space

Talya Eden, Ronitt Rubinfeld, Arsen Vasilyan

We consider the fundamental problems of approximately counting the numbers of edges and triangles in a graph in sublinear time. Previous algorithms for these tasks are significantl…

cs.DS2025

Quality control in sublinear time: a case study via random graphs

Cassandra Marcussen, Ronitt Rubinfeld, Madhu Sudan

Many algorithms are designed to work well on average over inputs. When running such an algorithm on an arbitrary input, we must ask: Can we trust the algorithm on this input? We id…

cs.DS2025

A Fast Coloring Oracle for Average Case Hypergraphs

Cassandra Marcussen, Edward Pyne, Ronitt Rubinfeld +2

Hypergraph -colorability is one of the classical NP-hard problems. Person and Schacht [SODA'09] designed a deterministic algorithm whose expected running time is polynomial over…

cs.LG2025

Better Private Distribution Testing by Leveraging Unverified Auxiliary Data

Maryam Aliakbarpour, Arnav Burudgunte, Clément Cannone +1

We extend the framework of augmented distribution testing (Aliakbarpour, Indyk, Rubinfeld, and Silwal, NeurIPS 2024) to the differentially private setting. This captures scenarios…

cs.DS2025

Approximately Counting and Sampling Hamiltonian Motifs in Sublinear Time

Talya Eden, Reut Levi, Dana Ron +1

Counting small subgraphs, referred to as motifs, in large graphs is a fundamental task in graph analysis, extensively studied across various contexts and computational models. In t…