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Scalable and Distributed Silhouette Approximation
分布式架构下高效近似轮廓系数的新方法，适合大规模聚类评估场景。
arXiv:2607.01993v1 Announce Type: cross Abstract: The silhouette is one of the most widely used measures to assess the quality of a $k$-clustering of …
2
Scalable Pairwise Kernel Learning with Stochastic Vec Trick
利用随机向量技巧突破成对核学习扩展瓶颈，理论创新显著提升大规模场景效率。
arXiv:2606.16979v1 Announce Type: new Abstract: Pairwise learning is a specialized form of supervised learning that focuses on predicting outcomes for…
3
TriOpt: A Scalable Algorithm for Linear Causal Discovery
提出TriOpt可扩展算法，破解线性因果发现中图搜索空间超指数爆炸难题。
arXiv:2605.17465v1 Announce Type: new Abstract: Learning causal relations from observational data is challenging because the graph search space grows …