4 citations · 4 across the 1 of their papers we have counts for
3 papers
cs.DS2021★ 4 cited
Perfect Sampling for (Atomic) Lovász Local Lemma
Kun He, Xiaoming Sun, Kewen Wu
We give a Markov chain based perfect sampler for uniform sampling solutions of constraint satisfaction problems (CSP). Under some mild Lovász local lemma conditions where each cons…
cs.DS2019
Dynamic inference in probabilistic graphical models
Weiming Feng, Kun He, Xiaoming Sun +1
Probabilistic graphical models, such as Markov random fields (MRFs), are useful for describing high-dimensional distributions in terms of local dependence structures. The probabili…
stat.ME2018
Null-free False Discovery Rate Control Using Decoy Permutations
Kun He, Mengjie Li, Yan Fu +2
The traditional approaches to false discovery rate (FDR) control in multiple hypothesis testing are usually based on the null distribution of a test statistic. However, all types o…