2 citations · 2 across the 2 of their papers we have counts for
3 papers
math.OC2025
Exponential convergence of a distributed divide-and-conquer algorithm for constrained convex optimization on networks
Nazar Emirov, Guohui Song, Qiyu Sun
We propose a divide-and-conquer (DAC) algorithm for constrained convex optimization over networks, where the global objective is the sum of local objectives attached to individual…
cs.LG2024
Hyperparameter Estimation for Sparse Bayesian Learning Models
Feng Yu, Lixin Shen, Guohui Song
Sparse Bayesian Learning (SBL) models are extensively used in signal processing and machine learning for promoting sparsity through hierarchical priors. The hyperparameters in SBL…
stat.AP2023★ 2 cited
Sequential edge detection using joint hierarchical Bayesian learning
Yao Xiao, Anne Gelb, Guohui Song
This paper introduces a new sparse Bayesian learning (SBL) algorithm that jointly recovers a temporal sequence of edge maps from noisy and under-sampled Fourier data. The new metho…