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A Contextual Bandit Bake-off., , и . J. Mach. Learn. Res., (2021)Invariance and Stability of Deep Convolutional Representations., и . NIPS, стр. 6210-6220. (2017)A Kernel Perspective for Regularizing Deep Neural Networks., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 664-674. PMLR, (2019)Scaling Laws for Associative Memories., , и . CoRR, (2023)Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions., , , , и . CoRR, (2020)On the Sample Complexity of Learning under Geometric Stability., , и . NeurIPS, стр. 18673-18684. (2021)Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning., , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 1945-1962. PMLR, (2022)On minimal variations for unsupervised representation learning, , и . (2022)cite arxiv:2211.03782Comment: 5 pages, 1 figure; 1 table.Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure., и . CoRR, (2016)Multiple physics pretraining for physical surrogate models, , , , , , , , , и 1 other автор(ы). arXiv preprint arXiv:2310.02994, (2023)