4 citations · 9 across the 3 of their papers we have counts for
5 papers
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances
Sloan Nietert, Ritwik Sadhu, Ziv Goldfeld +1
Sliced Wasserstein distances preserve properties of classic Wasserstein distances while being more scalable for computation and estimation in high dimensions. The goal of this work…
Limit distribution theory for smooth -Wasserstein distances
Ziv Goldfeld, Kengo Kato, Sloan Nietert +1
The Wasserstein distance is a metric on a space of probability measures that has seen a surge of applications in statistics, machine learning, and applied mathematics. However, sta…
Learning with Comparison Feedback: Online Estimation of Sample Statistics
Michela Meister, Sloan Nietert
We study an online version of the noisy binary search problem where feedback is generated by a non-stochastic adversary rather than perturbed by random noise. We reframe this as ma…
Rigidity and a common framework for mutually unbiased bases and k-nets
Sloan Nietert, Zsombor Szilágyi, Mihály Weiner
Many deep, mysterious connections have been observed between collections of mutually unbiased bases (MUBs) and combinatorial designs called -nets (and in particular, between com…
Polarization, sign sequences and isotropic vector systems
Gergely Ambrus, Sloan Nietert
We determine the order of magnitude of the th -polarization constant of the unit sphere for every and . For , we prove that extremizers…