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Michael Kastoryano

1 paper indexed

arxivcs.LG2026-07-17

(MPO)$^2$: Multivariate Polynomial Optimization based on Matrix Product Operators

Niccolò Ciolli, Anders Vestergaard Nørskov, Michael Kastoryano, Petr Taborsky, Morten Mørup

Central to machine learning and signal processing is the ability to perform universal function approximation and learn complex input-output relationships from limited numbers of observations. Multivariate polynomial models offer a natural way to express such relationships through…

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