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20182026
most citedA Framework for Adversarially Robust Streaming Algorithms

23 citations · 85 across the 22 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.LG2023★ 9 cited

HyperAttention: Long-context Attention in Near-Linear Time

Insu Han, Rajesh Jayaram, Amin Karbasi +3

We present an approximate attention mechanism named HyperAttention to address the computational challenges posed by the growing complexity of long contexts used in Large Language M…

cs.DS2023

Massively Parallel Algorithms for High-Dimensional Euclidean Minimum Spanning Tree

Rajesh Jayaram, Vahab Mirrokni, Shyam Narayanan +1

We study the classic Euclidean Minimum Spanning Tree (MST) problem in the Massively Parallel Computation (MPC) model. Given a set of points, the goal i…

cs.DS2023

Fully Dynamic Consistent -Center Clustering

Jakub Łącki, Bernhard Haeupler, Christoph Grunau +2

We study the consistent k-center clustering problem. In this problem, the goal is to maintain a constant factor approximate -center solution during a sequence of point inser…

cs.DS2023★ 5 cited

A Near-Linear Time Algorithm for the Chamfer Distance

Ainesh Bakshi, Piotr Indyk, Rajesh Jayaram +2

For any two point sets of size up to , the Chamfer distance from to is defined as , whe…

cs.DS2023★ 11 cited

Optimal Fully Dynamic -Center Clustering for Adaptive and Oblivious Adversaries

MohammadHossein Bateni, Hossein Esfandiari, Hendrik Fichtenberger +4

In fully dynamic clustering problems, a clustering of a given data set in a metric space must be maintained while it is modified through insertions and deletions of individual poin…

cs.LG2023★ 1 cited

Stars: Tera-Scale Graph Building for Clustering and Graph Learning

CJ Carey, Jonathan Halcrow, Rajesh Jayaram +3

A fundamental procedure in the analysis of massive datasets is the construction of similarity graphs. Such graphs play a key role for many downstream tasks, including clustering, c…