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cs.DS2026
Approximation Preserving Coresets
Milind Prabhu, Chris Schwiegelshohn, Sudarshan Shyam
Clustering in a big data setting is an intensively studied problem, with coresets emerging as one of the important paradigms in this line of work. Given a cost function $\text{cost…
cs.DS2024
Simple and Optimal Sublinear Algorithms for Mean Estimation
Beatrice Bertolotti, Matteo Russo, Chris Schwiegelshohn +1
We study the sublinear multivariate mean estimation problem in -dimensional Euclidean space. Specifically, we aim to find the mean of a ground point set , which minimizes…