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Efficient Real-world Testing of Causal Decision Making via Bayesian Experimental Design for Contextual Optimisation., , , and . CoRR, (2022)Variational Estimators for Bayesian Optimal Experimental Design., , , , , , and . CoRR, (2019)Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods., , , , and . NeurIPS, page 25785-25798. (2021)Making Better Use of Unlabelled Data in Bayesian Active Learning., , and . CoRR, (2024)Unbiased MLMC Stochastic Gradient-Based Optimization of Bayesian Experimental Designs., , , and . SIAM J. Sci. Comput., 44 (1): 286- (2022)Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 3384-3395. PMLR, (2021)Probabilistic Verb Selection for Data-to-Text Generation., , , and . Trans. Assoc. Comput. Linguistics, (2018)Modern Bayesian Experimental Design., , , and . CoRR, (2023)On Contrastive Representations of Stochastic Processes., , and . NeurIPS, page 28823-28835. (2021)Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks., , , and . UAI, page 477-486. AUAI Press, (2018)