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Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly., , , , , , , and . CoRR, (2019)Post-inference Methods for Scalable Probabilistic Modeling and Sequential Decision Making.. Carnegie Mellon University, USA, (2020)Asymptotically Exact, Embarrassingly Parallel MCMC., , and . UAI, page 623-632. AUAI Press, (2014)Amortized Auto-Tuning: Cost-Efficient Transfer Optimization for Hyperparameter Recommendation., , and . CoRR, (2021)An Experimental Design Perspective on Model-Based Reinforcement Learning., , , , and . ICLR, OpenReview.net, (2022)A General Recipe for Likelihood-free Bayesian Optimization., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 20384-20404. PMLR, (2022)Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 8005-8015. PMLR, (2021)A Study on Encodings for Neural Architecture Search., , , and . NeurIPS, (2020)Importance-aware Co-teaching for Offline Model-based Optimization., , , , and . CoRR, (2023)BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search., , and . AAAI, page 10293-10301. AAAI Press, (2021)