Introduces a cross-fitted orthogonal hypergradient estimator derived from the efficient influence function that achieves asymptotic normality and uniform control for bilevel gradient estimation under quadratic losses.
Tsiatis.Semiparametric Theory and Missing Data
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Post-hoc isotonic regression calibration for deep Cox survival models that improves calibration with theoretical guarantees including double-robustness and asymptotic calibration.
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Semiparametric Efficient Bilevel Gradient Estimation
Introduces a cross-fitted orthogonal hypergradient estimator derived from the efficient influence function that achieves asymptotic normality and uniform control for bilevel gradient estimation under quadratic losses.
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Isotonic Survival Regression: Calibrated Survival Distributions from Deep Cox Models
Post-hoc isotonic regression calibration for deep Cox survival models that improves calibration with theoretical guarantees including double-robustness and asymptotic calibration.