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Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective., and . CoRR, (2022)Consistency of Cheeger and Ratio Graph Cuts., , , , and . J. Mach. Learn. Res., (2016)Traditional and Accelerated Gradient Descent for Neural Architecture Search., , and . GSI, volume 12829 of Lecture Notes in Computer Science, page 507-514. Springer, (2021)The geometry of adversarial training in binary classification, , and . Information and Inference: A Journal of the IMA, 12 (2): 921-968 (June 2023)Large sample spectral analysis of graph-based multi-manifold clustering., , and . CoRR, (2021)Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis., , and . CoRR, (2019)Data-Driven Forward Discretizations for Bayesian Inversion., , , , and . CoRR, (2020)It begins with a boundary: A geometric view on probabilistically robust learning, , , , , and . (2023)Rates of Convergence for Regression with the Graph Poly-Laplacian., , and . CoRR, (2022)From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds., , and . CoRR, (2020)