| Efficient coreset constructions via sensitivity sampling V Braverman, D Feldman, H Lang, A Statman, S Zhou Asian Conference on Machine Learning, 948-963, 2021 | 183* | 2021 |
| Synaptic size dynamics as an effectively stochastic process A Statman, M Kaufman, A Minerbi, NE Ziv, N Brenner PLoS computational biology 10 (10), e1003846, 2014 | 74 | 2014 |
| Tight sensitivity bounds for smaller coresets A Maalouf, A Statman, D Feldman Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 24 | 2020 |
| k-Means+++: Outliers-Resistant Clustering A Statman, L Rozenberg, D Feldman Algorithms 13 (12), 311, 2020 | 11 | 2020 |
| New frameworks for offline and streaming coreset constructions. arXiv preprint, 2016 V Braverman, D Feldman, H Lang, A Statman, S Zhou URL: http://arxiv. org/abs/1612.00889, 0 | 6 | |
| Least-Mean-Squares Coresets for Infinite Streams V Braverman, D Feldman, H Lang, D Rus, A Statman IEEE Transactions on Knowledge and Data Engineering 35 (9), 8699-8712, 2022 | 3 | 2022 |
| Faster Projective Clustering Approximation of Big Data A Statman, L Rozenberg, D Feldman arXiv preprint arXiv:2011.13476, 2020 | 1 | 2020 |
| From Linear-Time Approximations to Coresets for Projective Clustering A Statman PQDT-Global, 2021 | | 2021 |
