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Tag: nonparametric

  • Why Nonparametric Models Deserve a Second Look

    Why Nonparametric Models Deserve a Second Look Discover how nonparametric conditional distributions unify regression, classification, and synthetic data generation—without assuming functional forms. The post Why Nonparametric Models Deserve a Second Look appeared first on Towards Data Science. Andrew Skabar Go to original source

  • 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,…

  • A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution Detection

    A Bayesian Nonparametric Perspective on Mahalanobis Distance for Out of Distribution Detection arXiv:2502.08695v1 Announce Type: new Abstract: Bayesian nonparametric methods are naturally suited to the problem of out-of-distribution (OOD) detection. However, these techniques have largely been eschewed in favor of simpler methods based on distances between pre-trained or learned embeddings of data points. Here we…