P. Leung

works on

empirical processes 1 gromov-wasserstein distance 1 metric entropy 1 optimal transport 1 sample complexity 1

From the 1 of 3 linked papers with an AI index.

collaborators

3 papers

math.ST2026

Sample Complexity for the 2-Gromov-Wasserstein Distance

Pui Kuen Leung, Riku Okada, Samuel Lok-Hei Wong

The paper studies how many samples are needed for the empirical plug‑in estimator of the 2‑Gromov‑Wasserstein distance between compactly supported probability measures in Euclidean…

math.PR2026

Anticoncentration of the Permanent in Ginibre Ensembles

Frederic Koehler, Pui Kuen Leung

Let $K \in {R, C, H}$ , put $I^^{2} = dim_{R} K$ , and let $G_{n}^{K}$ be an $n \times n$ matrix with i.i.d. standard $K$ …

cs.DS2026

Approximating the Permanent of a Random Matrix with Polynomially Small Mean: Zeros and Universality

Frederic Koehler, Pui Kuen Leung

We study algorithms for approximating the permanent of a random matrix when the entries are slightly biased away from zero. This question is motivated by the goal of understanding…