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Found 2 papers, 2 papers with code
One-Step Estimation of Differentiable Hilbert-Valued Parameters
When the parameter space is a reproducing kernel Hilbert space, we provide a means to obtain efficient, root-n rate estimators and corresponding confidence sets.
Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures
The Predictor's objective is to learn a function that maps from a new feature to an estimate of the associated outcome.
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