DR-ME is the first semiparametrically efficient finite-location kernel test for interpretable distributional treatment effects, using orthogonal doubly robust features derived from observational data.
Wright.Numerical Optimization
4 Pith papers cite this work. Polarity classification is still indexing.
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A structure-preserving optimal control method for time-dependent Maxwell's equations is introduced using Nedelec-Raviart-Thomas finite elements and Crank-Nicolson stepping that maintains de Rham structure, enforces Gauss law and energy balance, with proofs of well-posedness and convergence applied,
Penalized optimal controls for the heat equation converge to the hard-constrained solution at explicit rates O(alpha to the minus theta), with sharp O(1/alpha) under stronger assumptions on the terminal mismatch.
A convex optimization approach reconstructs nonnegative reaction-channel levels on fixed subgroup supports for probability tables, restoring physical consistency in U-238 capture benchmarks at modest cost to response accuracy.
citing papers explorer
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Semiparametric Efficient Test for Interpretable Distributional Treatment Effects
DR-ME is the first semiparametrically efficient finite-location kernel test for interpretable distributional treatment effects, using orthogonal doubly robust features derived from observational data.
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Structure-Preserving Optimal Control of Maxwell's Equations with Applications to Source Cloaking
A structure-preserving optimal control method for time-dependent Maxwell's equations is introduced using Nedelec-Raviart-Thomas finite elements and Crank-Nicolson stepping that maintains de Rham structure, enforces Gauss law and energy balance, with proofs of well-posedness and convergence applied,
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Quantitative Soft-to-Hard Terminal Constraint Convergence for the Heat Equation
Penalized optimal controls for the heat equation converge to the hard-constrained solution at explicit rates O(alpha to the minus theta), with sharp O(1/alpha) under stronger assumptions on the terminal mismatch.
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Admissible Reconstruction of Reaction-Channel Levels on Fixed Subgroup Support for Cross-Section-Space Probability Table Constructions
A convex optimization approach reconstructs nonnegative reaction-channel levels on fixed subgroup supports for probability tables, restoring physical consistency in U-238 capture benchmarks at modest cost to response accuracy.