7 citations · 8 across the 3 of their papers we have counts for
5 papers
Tightness of -Gibbsian line ensembles
Evgeni Dimitrov, Xuan Wu
We develop a black-box theory, which can be used to show that a sequence of Gibbsian line ensembles is tight, provided that the one-point marginals of the lowest labeled curves of…
Determinantal structures for Bessel fields
Lucas Benigni, Pei-Ken Hung, Xuan Wu
A Bessel field is a two-variable random field such that for every , has the law of a…
Enhanced Monte Carlo Estimation of the Fisher Information Matrix with Independent Perturbations for Complex Problems
Xuan Wu
The Fisher information matrix provides a way to measure the amount of information given observed data based on parameters of interest. Many applications of the FIM exist in statist…
A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification
Xuan Wu, Lingxiao Zhao, Leman Akoglu
Semi-supervised learning (SSL) is effectively used for numerous classification problems, thanks to its ability to make use of abundant unlabeled data. The main assumption of variou…
KMT coupling for random walk bridges
Evgeni Dimitrov, Xuan Wu
In this paper we prove an analogue of the Komlós-Major-Tusnády (KMT) embedding theorem for random walk bridges. The random bridges we consider are constructed through random walks…