A neural estimator for the generative map g in Y = g(X, U) is obtained by minimizing empirical energy distance between observed and generated distributions, attaining adaptive nonparametric rates.
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Neural Generative Distributional Regression
A neural estimator for the generative map g in Y = g(X, U) is obtained by minimizing empirical energy distance between observed and generated distributions, attaining adaptive nonparametric rates.