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Multiscale geometric methods for data sets I: Multiscale SVD, noise and curvature, , и . Applied and Computational Harmonic Analysis, 43 (3): 504--567 (ноября 2017)Theory III: Dynamics and Generalization in Deep Networks., , , , , , и . CoRR, (2019)Hyperbolic Manifold Regression., , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 2570-2580. PMLR, (2020)Zeroth-order optimization with orthogonal random directions., , , , и . Math. Program., 199 (1): 1179-1219 (мая 2023)Fast Object Segmentation Learning with Kernel-based Methods for Robotics., , , , и . ICRA, стр. 13581-13588. IEEE, (2021)Causal Discovery with Score Matching on Additive Models with Arbitrary Noise., , , , и . CLeaR, том 213 из Proceedings of Machine Learning Research, стр. 726-751. PMLR, (2023)Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability., , и . EUSIPCO, стр. 1077-1081. IEEE, (2018)Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling., , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3642-3652. PMLR, (2020)Beating SGD Saturation with Tail-Averaging and Minibatching, , и . (2019)Vector Field Learning via Spectral Filtering., , , и . ECML/PKDD (1), том 6321 из Lecture Notes in Computer Science, стр. 56-71. Springer, (2010)