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Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design.

, , , and . ICML, page 1015-1022. Omnipress, (2010)

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Online Variance Reduction with Mixtures., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 705-714. PMLR, (2019)Non-Monotone Adaptive Submodular Maximization., , and . IJCAI, page 1996-2003. AAAI Press, (2015)Inferring networks of diffusion and influence, , and . Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, page 1019--1028. New York, NY, USA, ACM, (2010)Evaluating GANs via Duality., , , , , and . CoRR, (2018)Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting., , , and . IEEE Trans. Inf. Theory, 58 (5): 3250-3265 (2012)A standard curve based method for relative real time PCR data processing., , and . BMC Bioinform., (2005)Development and implementation of a parallel algorithm for the fast design of oligonucleotide probe sets for diagnostic DNA microarrays., , , and . Concurr. Pract. Exp., 16 (9): 873-893 (2004)Network-Based Computational Techniques to Determine the Risk Drivers of Bank Failures During a Systemic Banking Crisis., and . IEEE Trans. Emerg. Top. Comput. Intell., 2 (3): 174-184 (2018)Coresets via Bilevel Optimization for Continual Learning and Streaming., , and . CoRR, (2020)Learning Implicit Generative Models Using Differentiable Graph Tests., and . CoRR, (2017)