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On the relationship between multivariate splines and infinitely-wide neural networks.

. CoRR, (2023)

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Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks., , and . CoRR, (2019)Explicit Regularization of Stochastic Gradient Methods through Duality., and . CoRR, (2020)Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives., , and . CoRR, (2018)Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods., , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 707-715. PMLR, (2018)Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron., , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 1195-1204. PMLR, (2019)The recursive variational Gaussian approximation (R-VGA)., , and . Stat. Comput., 32 (1): 10 (2022)Screening for a Reweighted Penalized Conditional Gradient Method., and . Open J. Math. Optim., (March 2022)A note on approximate accelerated forward-backward methods with absolute and relative errors, and possibly strongly convex objectives., , and . Open J. Math. Optim., (March 2022)Multi-task regression using minimal penalties., , and . J. Mach. Learn. Res., (2012)Discriminative learned dictionaries for local image analysis., , , , and . CVPR, IEEE Computer Society, (2008)