55 citations · 199 across the 14 of their papers we have counts for
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math.FA2021
Random embeddings with an almost Gaussian distortion
Daniel Bartl, Shahar Mendelson
Let be a symmetric, isotropic random vector in and let be independent copies of . We show that under mild assumptions on (a suitable th…
math.PR2021★ 3 cited
The Wasserstein space of stochastic processes
Daniel Bartl, Mathias Beiglböck, Gudmund Pammer
Wasserstein distance induces a natural Riemannian structure for the probabilities on the Euclidean space. This insight of classical transport theory is fundamental for tremendous a…
math.ST2021
On Monte-Carlo methods in convex stochastic optimization
Daniel Bartl, Shahar Mendelson
We develop a novel procedure for estimating the optimizer of general convex stochastic optimization problems of the form , when the given…