4 citations · 4 across the 7 of their papers we have counts for
4 papers
Enhancing SAEAs with Unevaluated Solutions: A Case Study of Relation Model for Expensive Optimization
Hao Hao, Xiaoqun Zhang, Aimin Zhou
Surrogate-assisted evolutionary algorithms (SAEAs) hold significant importance in resolving expensive optimization problems~(EOPs). Extensive efforts have been devoted to improving…
Federated Primal Dual Fixed Point Algorithm
Ya-Nan Zhu, Jingwei Liang, Xiaoqun Zhang
Federated learning (FL) is a distributed learning paradigm that allows several clients to learn a global model without sharing their private data. In this paper, we generalize a pr…
Approximate Primal-Dual Fixed-Point based Langevin Algorithms for Non-smooth Convex Potentials
Ziruo Cai, Jinglai Li, Xiaoqun Zhang
The Langevin algorithms are frequently used to sample the posterior distributions in Bayesian inference. In many practical problems, however, the posterior distributions often cons…
On the convergence of continuous and discrete unbalanced optimal transport models
Zhe Xiong, Lei Li, Ya-Nan Zhu +1
We consider a Beckmann formulation of an unbalanced optimal transport (UOT) problem. The -convergence of this formulation of UOT to the corresponding optimal transport (OT) prob…