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On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts, , and . Advances in Neural Information Processing Systems 19, MIT Press, Cambridge, MA, (2007)Laplacian Eigenmaps for Dimensionality Reduction and Data Representation, and . Neural Computation, (2002)Multiple Descent: Design Your Own Generalization Curve, , , and . (2020)cite arxiv:2008.01036.Benign, Tempered, or Catastrophic: A Taxonomy of Overfitting., , , , , and . CoRR, (2022)More is Better in Modern Machine Learning: when Infinite Overparameterization is Optimal and Overfitting is Obligatory., , , and . CoRR, (2023)Discrete laplace operator on meshed surfaces., , and . SCG, page 278-287. ACM, (2008)Evaluation of Neural Architectures trained with square Loss vs Cross-Entropy in Classification Tasks., and . ICLR, OpenReview.net, (2021)On the linearity of large non-linear models: when and why the tangent kernel is constant., , and . NeurIPS, (2020)The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures., , , , and . COLT, volume 35 of JMLR Workshop and Conference Proceedings, page 1135-1164. JMLR.org, (2014)On the Nyström Approximation for Preconditioning in Kernel Machines., , , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 3718-3726. PMLR, (2024)