no code implementations • 19 Dec 2023 • YoonHaeng Hur, Yuehaw Khoo
While matching procedures based on pairwise distances are conceptually appealing and thus favored in practice, theoretical guarantees for such procedures are rarely found in the literature.
no code implementations • 3 Sep 2022 • Xun Tang, YoonHaeng Hur, Yuehaw Khoo, Lexing Ying
In this paper, we present a density estimation framework based on tree tensor-network states.
no code implementations • 9 Feb 2022 • Wenxuan Guo, YoonHaeng Hur, Tengyuan Liang, Christopher Ryan
Motivated by robust dynamic resource allocation in operations research, we study the \textit{Online Learning to Transport} (OLT) problem where the decision variable is a probability measure, an infinite-dimensional object.
no code implementations • 28 Sep 2021 • YoonHaeng Hur, Wenxuan Guo, Tengyuan Liang
Motivated by the seminal work on distance and isomorphism between metric measure spaces, we propose a new notion called the Reversible Gromov-Monge (RGM) distance and study how RGM can be used to design new transform samplers to perform simulation-based inference.