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20182026
most citedOptimal Sketching for Kronecker Product Regression and Low Rank Approximation

17 citations · 24 across the 12 of their papers we have counts for

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cs.DS2026

Near-Optimal Dimension Lower Bounds for Single-Vector Embeddings of Maximum Inner Product Similarity

Rajesh Jayaram, Honghao Lin, Vahab Mirrokni +1

Multi-vector embeddings represent items by point clouds and compare query and document point clouds using Chamfer similarity, whereas single-vector embeddings use ordinary inner pr…

cs.DS2024

Streaming Algorithms with Few State Changes

Rajesh Jayaram, David P. Woodruff, Samson Zhou

In this paper, we study streaming algorithms that minimize the number of changes made to their internal state (i.e., memory contents). While the design of streaming algorithms typi…

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

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.DS202311 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…