Quantum-inspired estimators for F_alpha(P) and F_alpha(rho) achieve optimal sample complexity n ~ alpha and minimax MSE rate alpha/n, improving prior O(alpha^2) bounds.
Information theoretical properties of Tsallis entropies
2 Pith papers cite this work, alongside 117 external citations. Polarity classification is still indexing.
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A Kolmogorov-Nagumo mean-based framework for generalized g-conditional entropies represents Augustin-Csiszár cases beyond the scope of prior η-averaging methods.
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Towards Minimax Estimation of High-Order Functionals by Quantum Arguments
Quantum-inspired estimators for F_alpha(P) and F_alpha(rho) achieve optimal sample complexity n ~ alpha and minimax MSE rate alpha/n, improving prior O(alpha^2) bounds.
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Kolmogorov--Nagumo Mean Frameworks for Conditional Entropy
A Kolmogorov-Nagumo mean-based framework for generalized g-conditional entropies represents Augustin-Csiszár cases beyond the scope of prior η-averaging methods.