An influence-function debiased objective for ill-posed regression achieves second-order nuisance bias, with finite-sample rate bounds, cross-validated tuning, and root-n inference conditions for linear functionals.
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Debiased Ill-Posed Regression
An influence-function debiased objective for ill-posed regression achieves second-order nuisance bias, with finite-sample rate bounds, cross-validated tuning, and root-n inference conditions for linear functionals.