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Consistency of Cheeger and Ratio Graph Cuts., , , , и . J. Mach. Learn. Res., (2016)Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective., и . CoRR, (2022)The geometry of adversarial training in binary classification, , и . Information and Inference: A Journal of the IMA, 12 (2): 921-968 (июня 2023)Large sample spectral analysis of graph-based multi-manifold clustering., , и . CoRR, (2021)Large sample spectral analysis of graph-based multi-manifold clustering., , и . J. Mach. Learn. Res., (2023)On the consistency of graph-based Bayesian semi-supervised learning and the scalability of sampling algorithms., , , и . J. Mach. Learn. Res., (2020)Continuum Limits of Posteriors in Graph Bayesian Inverse Problems., и . SIAM J. Math. Anal., 50 (4): 4020-4040 (2018)Traditional and Accelerated Gradient Descent for Neural Architecture Search., , и . GSI, том 12829 из Lecture Notes in Computer Science, стр. 507-514. Springer, (2021)Adversarial Classification: Necessary Conditions and Geometric Flows., и . J. Mach. Learn. Res., (2022)Geometric structure of graph Laplacian embeddings., , и . J. Mach. Learn. Res., (2021)