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math.ST2022★ 1 cited
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions
Omri Ben-Eliezer, Dan Mikulincer, Ilias Zadik
The last few years have seen a surge of work on high dimensional statistics under privacy constraints, mostly following two main lines of work: the ``worst case'' line, which does…
math.ST2016
Information and dimensionality of anisotropic random geometric graphs
Ronen Eldan, Dan Mikulincer
This paper deals with the problem of detecting non-isotropic high-dimensional geometric structure in random graphs. Namely, we study a model of a random geometric graph in which ve…