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Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions
This chapter develops the general framework for estimation and inference on CEFR, which allows the use of flexible machine learning for infinite-dimensional nuisance parameters.
Estimation of Local Average Treatment Effect by Data Combination
However, model selection and hyperparameter tuning for the direct least squares estimator can be unstable in practice since it is defined as a solution to the minimax problem.
Binary Classification from Positive Data with Skewed Confidence
Positive-confidence (Pconf) classification [Ishida et al., 2018] is a promising weakly-supervised learning method which trains a binary classifier only from positive data equipped with confidence.
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