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ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations., , , , , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3393-3403. PMLR, (2020)Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments., , , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 3222-3232. PMLR, (2019)Myopic Bayesian Design of Experiments via Posterior Sampling and Probabilistic Programming., , , , , и . CoRR, (2018)Unsupervised program synthesis for images by sampling without replacement., , и . UAI, том 161 из Proceedings of Machine Learning Research, стр. 408-418. AUAI Press, (2021)Utilize Old Coordinates: Faster Doubly Stochastic Gradients for Kernel Methods., и . UAI, AUAI Press, (2016)Cautious Deep Learning., , и . CoRR, (2018)Minimizing FLOPs to Learn Efficient Sparse Representations., , , , , и . ICLR, OpenReview.net, (2020)High Dimensional Bayesian Optimisation and Bandits via Additive Models., , и . ICML, том 37 из JMLR Workshop and Conference Proceedings, стр. 295-304. JMLR.org, (2015)Multi-fidelity Bayesian Optimisation with Continuous Approximations., , , и . ICML, том 70 из Proceedings of Machine Learning Research, стр. 1799-1808. PMLR, (2017)On the Estimation of alpha-Divergences., и . AISTATS, том 15 из JMLR Proceedings, стр. 609-617. JMLR.org, (2011)