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A Note on Lazy Training in Supervised Differentiable Programming, and . (2018)cite arxiv:1812.07956.Breaking the Curse of Dimensionality with Convex Neural Networks. (2014)cite arxiv:1412.8690.Active learning for misspecified generalized linear models. Advances in Neural Information Processing Systems 19, MIT Press, Cambridge, MA, (2007)A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization, , , and . J. Mach. Learn. Res., (June 2009)The Galerkin method beats Graph-Based Approaches for Spectral Algorithms., and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 451-459. PMLR, (2024)On the Impact of Overparameterization on the Training of a Shallow Neural Network in High Dimensions., , and . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 3655-3663. PMLR, (2024)Optimal algorithms for non-smooth distributed optimization in networks, , , , and . Advances in Neural Information Processing Systems, page 2745--2754. (2018)Consistent Structured Prediction with Max-Min Margin Markov Networks, , and . (2020)cite arxiv:2007.01012.Regularization properties of adversarially-trained linear regression., , , and . CoRR, (2023)Structured Sparsity through Convex Optimization, , , and . Statistical Science, 27 (4): 450--468 (November 2012)