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Modular Meta-Learning with Shrinkage

, , , , , , и . (2019)cite arxiv:1909.05557Comment: 14 pages (4 main, 8 supplement), under review.

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Abram Friesen

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Другие публикации лиц с тем же именем

Deep Learning as a Mixed Convex-Combinatorial Optimization Problem, и . (2017)cite arxiv:1710.11573Comment: 14 pages (9 body, 5 pages of references and appendices).On the role of planning in model-based deep reinforcement learning., , , , , , , , , и . CoRR, (2020)Model-Value Inconsistency as a Signal for Epistemic Uncertainty., , , , , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 6474-6498. PMLR, (2022)Recursive Decomposition for Nonconvex Optimization - IJCAI-15 Distinguished Paper., и . IJCAI, стр. 253-259. AAAI Press, (2015)Modular Meta-Learning with Shrinkage, , , , , , и . (2019)cite arxiv:1909.05557Comment: 14 pages (4 main, 8 supplement), under review.The Sum-Product Theorem and its Applications.. University of Washington, USA, (2017)Submodular Field Grammars: Representation, Inference, and Application to Image Parsing., и . NeurIPS, стр. 4312-4322. (2018)Imitation learning with hierarchical actions., и . ICDL, стр. 263-268. IEEE, (2010)Introducing Symmetries to Black Box Meta Reinforcement Learning., , , , , и . AAAI, стр. 7202-7210. AAAI Press, (2022)Retrieval-Augmented Reinforcement Learning., , , , , , , , , и 5 other автор(ы). ICML, том 162 из Proceedings of Machine Learning Research, стр. 7740-7765. PMLR, (2022)