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Automatic Differentiation in Machine Learning: a Survey

, , , and . Journal of Machine Learning Research, v18 (153): 1-43 (2018)

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Automatic differentiation in machine learning: a survey., , and . CoRR, (2015)A semantic network-based evolutionary algorithm for computational creativity., , and . Evol. Intell., 8 (1): 3-21 (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)Simulation-Based Inference for Global Health Decisions., , , , , , , , , and 1 other author(s). CoRR, (2020)Closing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programming., , and . CoRR, (2024)Improvements to Inference Compilation for Probabilistic Programming in Large-Scale Scientific Simulators., , , , , , , , , and 1 other author(s). CoRR, (2017)Deep Probabilistic Surrogate Networks for Universal Simulator Approximation., , , , , , and . CoRR, (2019)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)