// Hacker Noon · 10 January 2026

Beyond Euclidean Space: Optimizing Hierarchical Data in Hyperbolic HSVMs

This article presents a non-convex approach to learning in hyperbolic spaces. We apply semidefinite relaxation and sparse moment-sum-of-squares relaxation to effectively approximate the optima. From extensive empirical experiments, these methods are shown to perform better than the projected gradien...

Hacker Noon

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