no code implementations • 7 Mar 2023 • Samuel Deng, Navid Ardeshir, Daniel Hsu
We consider the problem of distribution-free conformal prediction and the criterion of group conditional validity.
1 code implementation • 10 Jun 2022 • Navid Ardeshir, Daniel Hsu, Clayton Sanford
We study the structural and statistical properties of $\mathcal{R}$-norm minimizing interpolants of datasets labeled by specific target functions.
1 code implementation • NeurIPS 2021 • Navid Ardeshir, Clayton Sanford, Daniel Hsu
The support vector machine (SVM) and minimum Euclidean norm least squares regression are two fundamentally different approaches to fitting linear models, but they have recently been connected in models for very high-dimensional data through a phenomenon of support vector proliferation, where every training example used to fit an SVM becomes a support vector.