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Black-Box Optimization with Local Generative Surrogates., , , , and . NeurIPS, (2020)Amortized Rejection Sampling in Universal Probabilistic Programming., , , , , , , , , and 2 other author(s). AISTATS, volume 151 of Proceedings of Machine Learning Research, page 8392-8412. PMLR, (2022)Differentiating the Black-Box: Optimization with Local Generative Surrogates., , , , and . CoRR, (2020)Using synthetic data to train neural networks is model-based reasoning., , , and . IJCNN, page 3514-3521. IEEE, (2017)Automatic differentiation in machine learning: a survey, , and . CoRR, (2015)Evolution of central pattern generators for the control of a five-link bipedal walking mechanism.. Paladyn J. Behav. Robotics, 3 (1): 45-53 (2012)A semantic network-based evolutionary algorithm for computational creativity., , and . Evol. Intell., 8 (1): 3-21 (2015)Attention for Inference Compilation., , , , and . SIMULTECH, page 80-91. SCITEPRESS, (2022)Inference Compilation and Universal Probabilistic Programming., , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1338-1348. PMLR, (2017)Online Learning Rate Adaptation with Hypergradient Descent., , , , and . ICLR (Poster), OpenReview.net, (2018)