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cs.LG2026
GEM-KMeans: Memory-Efficient and Accurate Clustering on Massive Scale with GPU Optimization
Peng Xu, Nihar Koganti, Volodymyr Kindratenko +1
Memory-efficient scaling on clustering problems without sacrificing statistical accuracy is of central interest for large-scale data analysis and machine learning problems. Nonnega…
cs.LG2025
Scalable Second-order Riemannian Optimization for -means Clustering
Peng Xu, Chun-Ying Hou, Xiaohui Chen +1
Clustering is a hard discrete optimization problem. Nonconvex approaches such as low-rank semidefinite programming (SDP) have recently demonstrated promising statistical and local…
cs.LG2025
Embedding Empirical Distributions for Computing Optimal Transport Maps
Mingchen Jiang, Peng Xu, Xichen Ye +3
Distributional data have become increasingly prominent in modern signal processing, highlighting the necessity of computing optimal transport (OT) maps across multiple probability…