15 citations · 21 across the 5 of their papers we have counts for
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cs.LG2022
New Coresets for Projective Clustering and Applications
Murad Tukan, Xuan Wu, Samson Zhou +2
-projective clustering is the natural generalization of the family of -clustering and -subspace clustering problems. Given a set of points in , the g…
cs.LG2021★ 15 cited
Adversarial Robustness of Streaming Algorithms through Importance Sampling
Vladimir Braverman, Avinatan Hassidim, Yossi Matias +3
In this paper, we introduce adversarially robust streaming algorithms for central machine learning and algorithmic tasks, such as regression and clustering, as well as their more g…
cs.LG2019
Data-Independent Neural Pruning via Coresets
Ben Mussay, Margarita Osadchy, Vladimir Braverman +2
Previous work showed empirically that large neural networks can be significantly reduced in size while preserving their accuracy. Model compression became a central research topic,…