A two-stage differentially private estimator that calibrates objective-perturbation noise using stability bounds for covariate-balancing weights, demonstrated on individualized treatment rule learning.
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Differentially Private Two-Stage Empirical Risk Minimization with Applications to Individualized Treatment Rule
A two-stage differentially private estimator that calibrates objective-perturbation noise using stability bounds for covariate-balancing weights, demonstrated on individualized treatment rule learning.