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Variational Estimators for Bayesian Optimal Experimental Design., , , , , , and . CoRR, (2019)Efficient Real-world Testing of Causal Decision Making via Bayesian Experimental Design for Contextual Optimisation., , , and . CoRR, (2022)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 . AISTATS, volume 238 of Proceedings of Machine Learning Research, page 847-855. PMLR, (2024)Improving Transformation Invariance in Contrastive Representation Learning., , and . CoRR, (2020)Modern Bayesian Experimental Design., , , and . CoRR, (2023)Deep End-to-end Causal Inference., , , , , , , , , and 2 other author(s). CoRR, (2022)Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks., , , and . UAI, page 477-486. AUAI Press, (2018)On Contrastive Representations of Stochastic Processes., , and . NeurIPS, page 28823-28835. (2021)A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments., , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 2959-2969. PMLR, (2020)