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Regularized ERM on random subspaces., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 4006-4014. PMLR, (2021)Learning the optimal Tikhonov regularizer for inverse problems., , , , and . NeurIPS, page 25205-25216. (2021)A Note on Learning with Integral Operators., , and . COLT, (2009)Detecting Spatio-Temporally Interest Points Using the Shearlet Transform., , and . IbPRIA, volume 10255 of Lecture Notes in Computer Science, page 501-510. Springer, (2017)Some Properties of Regularized Kernel Methods, , , , and . J. Mach. Learn. Res., (2004)Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces., , and . CoRR, (2019)Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression., , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 6554-6572. PMLR, (2022)The Use of Representations in Applied Harmonic Analysis., and . Harmonic and Applied Analysis, Birkhäuser, (2015)Enhancing Signal Discontinuities with Shearlets: An Application to Corner Detection., , and . ICIAP (2), volume 9280 of Lecture Notes in Computer Science, page 108-118. Springer, (2015)Are Loss Functions All the Same?., , , , and . Neural Comput., 16 (5): 1063-107 (2004)