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neural network estimation

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adversarial training (2) causal inference (2) generalized empirical likelihood (1) min-max game (1) non-asymptotic error bound (1) adversarial approach (1) stochastic gate (1) robust machine learning (1) neural network (1) hellinger distance (1)

Papers

Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions ICML 2022 Non-asymptotic Performance Guarantees for Neural Estimation of f-Divergences AISTATS 2021 Feature Selection using Stochastic Gates ICML 2020 Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach NeurIPS 2020 Mutual Information Neural Estimation ICML 2018