2 citations · 4 across the 13 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.LG2026
Riemannian Difference-of-Convex Optimization for K-Means Clustering
Meng Xu, Bo Jiang, Hanfu Zhang +2
K-means is a widely adopted clustering approach in signal processing and machine learning. In this paper, we study K-means clustering through a cardinality-constrained formulation…
math.OC2026
A Stochastic Riemannian Alternating Descent Ascent Method for Nonsmooth Composite Expectation Optimization on Riemannian Manifolds
Meng Xu, Bo Jiang, Ya-Feng Liu +1
In this paper, we consider a class of Riemannian nonsmooth composite expectation optimization problems, which arises in various machine learning, signal processing, and statistics…