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Optimization Approaches for Counterfactual Risk Minimization with Continuous Actions., , , , and . CoRR, (2020)Scaling Laws for Associative Memories., , and . CoRR, (2023)On minimal variations for unsupervised representation learning., , and . CoRR, (2022)Birth of a Transformer: A Memory Viewpoint., , , , and . CoRR, (2023)Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite-Sum Structure., and . CoRR, (2016)Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 1945-1962. PMLR, (2022)On the Sample Complexity of Learning under Geometric Stability., , and . NeurIPS, page 18673-18684. (2021)Multiple physics pretraining for physical surrogate models, , , , , , , , , and 1 other author(s). arXiv preprint arXiv:2310.02994, (2023)AstroCLIP: Cross-Modal Pre-Training for Astronomical Foundation Models., , , , , , , , , and 4 other author(s). CoRR, (2023)Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure., and . NIPS, page 1623-1633. (2017)