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Tag: distributionally

  • Wasserstein Distributionally Robust Nonparametric Regression

    Wasserstein Distributionally Robust Nonparametric Regression arXiv:2505.07967v1 Announce Type: new Abstract: Distributionally robust optimization has become a powerful tool for prediction and decision-making under model uncertainty. By focusing on the local worst-case risk, it enhances robustness by identifying the most unfavorable distribution within a predefined ambiguity set. While extensive research has been conducted in parametric settings,…

  • Distributionally Robust Coreset Selection under Covariate Shift

    Distributionally Robust Coreset Selection under Covariate Shift arXiv:2501.14253v1 Announce Type: new Abstract: Coreset selection, which involves selecting a small subset from an existing training dataset, is an approach to reducing training data, and various approaches have been proposed for this method. In practical situations where these methods are employed, it is often the case that…