Multi-source transfer learning incurs an intrinsic adaptation cost that can exceed one, with phase transitions separating regimes where bias-agnostic estimators match oracle performance from those where they cannot.
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A nonparametric estimator of the regimen-response curve for stochastic JITAIs on distal outcomes is developed, with weak convergence to a Gaussian process and asymptotic theory for the optimizing policy.
citing papers explorer
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The Statistical Cost of Adaptation in Multi-Source Transfer Learning
Multi-source transfer learning incurs an intrinsic adaptation cost that can exceed one, with phase transitions separating regimes where bias-agnostic estimators match oracle performance from those where they cannot.
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Nonparametric Estimation of Optimal Stochastic Just-In-Time Adaptive Interventions for Distal Outcomes
A nonparametric estimator of the regimen-response curve for stochastic JITAIs on distal outcomes is developed, with weak convergence to a Gaussian process and asymptotic theory for the optimizing policy.