Tag: Neural Networks
All the articles with the tag "Neural Networks".
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Wasserstein Distributionally Robust Nonparametric Regression
This paper introduces a Wasserstein Distributionally Robust Optimization framework for nonparametric regression, using Lipschitz-constrained feedforward neural networks to derive non-asymptotic error bounds for local worst-case risk under model misspecification, demonstrating robustness through simulations and MNIST dataset application.