Tag: Generalization Bounds

All the articles with the tag "Generalization Bounds".

• Wasserstein Distributionally Robust Nonparametric Regression

  Published: 16 May, 2025 |  at  11:36 AM

  

  88.71 🤔

  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.