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Random Features for Large-Scale Kernel Machines.

, and . NIPS, page 1177-1184. Curran Associates, Inc., (2007)

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Superresolution without separation., , and . CAMSAP, page 45-48. IEEE, (2015)Do ImageNet Classifiers Generalize to ImageNet?, , , and . (2019)cite arxiv:1902.10811.Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 9040-9051. PMLR, (2021)Plenoxels: Radiance Fields without Neural Networks., , , , , and . CVPR, page 5491-5500. IEEE, (2022)Simple random search of static linear policies is competitive for reinforcement learning., , and . NeurIPS, page 1805-1814. (2018)A Meta-Analysis of Overfitting in Machine Learning., , , , , , and . NeurIPS, page 9175-9185. (2019)Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator., , , , and . NeurIPS, page 4192-4201. (2018)Gradient Descent Converges to Minimizers., , , and . CoRR, (2016)Understanding deep learning requires rethinking generalization., , , , and . ICLR, OpenReview.net, (2017)Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator., and . ICML, volume 80 of Proceedings of Machine Learning Research, page 5012-5021. PMLR, (2018)