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PAC-Bayesian Meta-Learning: From Theory to Practice., , , и . CoRR, (2022)Lifelong bandit optimization: no prior and no regret., , , и . UAI, том 216 из Proceedings of Machine Learning Research, стр. 1847-1857. PMLR, (2023)Model-Based Reinforcement Learning via Meta-Policy Optimization., , , , , и . CoRL, том 87 из Proceedings of Machine Learning Research, стр. 617-629. PMLR, (2018)Noise Regularization for Conditional Density Estimation., , , , , , и . CoRR, (2019)Variational Causal Networks: Approximate Bayesian Inference over Causal Structures., , , , , , и . CoRR, (2021)Meta-Learning Priors for Safe Bayesian Optimization., , , и . CoRL, том 205 из Proceedings of Machine Learning Research, стр. 237-265. PMLR, (2022)Bridging the Sim-to-Real Gap with Bayesian Inference., , , , , и . CoRR, (2024)Conditional Density Estimation with Neural Networks: Best Practices and Benchmarks, , , и . (2019)cite arxiv:1903.00954.MARS: Meta-Learning as Score Matching in the Function Space., , и . CoRR, (2022)ProMP: Proximal Meta-Policy Search., , , , и . CoRR, (2018)