Operadic GPAV: Topologically-Aware Isotonic Regression on Large-Scale Networks
Abstract
This talk presents OGPAV, a new algorithm for isotonic regression on partially ordered sets that exploits topological structure and operadic decompositions to reduce computational complexity in large-scale problems.
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