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Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise., , , , , и . CoRR, (2019)Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches., , , , и . ICLR (Poster), OpenReview.net, (2018)Batched Low-Rank Adaptation of Foundation Models., и . CoRR, (2023)Natural Language to Code Generation in Interactive Data Science Notebooks., , , , , , , , , и 2 other автор(ы). CoRR, (2022)A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness., , , , , , , , , и . CoRR, (2022)A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness., , , , , , , , , и . J. Mach. Learn. Res., (2023)Combining Ensembles and Data Augmentation Can Harm Your Calibration., , , , , , и . ICLR, OpenReview.net, (2021)BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning., , и . ICLR, OpenReview.net, (2020)An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise., , , , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3621-3631. PMLR, (2020)Grounding Data Science Code Generation with Input-Output Specifications., , , , , и . CoRR, (2024)