A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models - researchr publication authors

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Jiaxin Zhang 0009, Sirui Bi, Guannan Zhang. A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models. In Arindam Banerjee 0001, Kenji Fukumizu, editors, The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event. Volume 130 of Proceedings of Machine Learning Research, pages 3745-3753, PMLR, 2021. [doi]

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