Extends UMVUE theory to Bregman losses by introducing dual-space unbiasedness and proving Rao-Blackwell and Lehmann-Scheffé analogs for type-I Bregman UMVUEs.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces static and dynamic feedback controllers for Lagrange multipliers in a proximal augmented Lagrangian plant model, producing two new optimization algorithms with global exponential convergence under strong convexity.
citing papers explorer
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UMVUE-Type Estimators under Bregman Losses
Extends UMVUE theory to Bregman losses by introducing dual-space unbiasedness and proving Rao-Blackwell and Lehmann-Scheffé analogs for type-I Bregman UMVUEs.
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Feedback control of Lagrange multipliers for non-smooth constrained optimization
Introduces static and dynamic feedback controllers for Lagrange multipliers in a proximal augmented Lagrangian plant model, producing two new optimization algorithms with global exponential convergence under strong convexity.