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Amortized Rejection Sampling in Universal Probabilistic Programming., , , , , , , , , и 2 other автор(ы). AISTATS, том 151 из Proceedings of Machine Learning Research, стр. 8392-8412. PMLR, (2022)Black-Box Optimization with Local Generative Surrogates., , , , и . NeurIPS, (2020)Using synthetic data to train neural networks is model-based reasoning., , , и . IJCNN, стр. 3514-3521. IEEE, (2017)Differentiating the Black-Box: Optimization with Local Generative Surrogates., , , , и . CoRR, (2020)Automatic Differentiation in Machine Learning: a Survey., , , и . J. Mach. Learn. Res., (2017)Evolution of ideas: A novel memetic algorithm based on semantic networks., и . IEEE Congress on Evolutionary Computation, стр. 1-8. IEEE, (2012)Automatic differentiation in machine learning: a survey, , , и . (2015)cite arxiv:1502.05767Comment: 43 pages, 5 figures.CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation., , , и . ICCBR, том 6880 из Lecture Notes in Computer Science, стр. 378-392. Springer, (2011)KL Guided Domain Adaptation., , , , и . ICLR, OpenReview.net, (2022)AutoSimulate: (Quickly) Learning Synthetic Data Generation., , , , и . ECCV (22), том 12367 из Lecture Notes in Computer Science, стр. 255-271. Springer, (2020)