Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization von Golovin, D, Krause, A

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Improved approximations for two-stage min-cut and shortest path problems under uncertainty von Golovin, Daniel, Goyal, Vineet, Polishchuk, Valentin, Ravi, R., Sysikaski, Mikko

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Sequential Decision Making in Computational Sustainability Through Adaptive Submodularity von Krause, Andreas, Golovin, Daniel, Converse, Sarah

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Sequential Decision Making in Computational Sustainability Through Adaptive Submodularity: COMPUTATIONAL SUSTAINABILITY von KRAUSE, Andreas, GOLOVIN, Daniel, CONVERSE, Sarah

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B-Treaps: A Uniquely Represented Alternative to B-Trees von Golovin, Daniel

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Pay Today for a Rainy Day: Improved Approximation Algorithms for Demand-Robust Min-Cut and Shortest Path Problems von Golovin, Daniel, Goyal, Vineet, Ravi, R.

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Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization von Golovin, Daniel, Zhang, Qiuyi

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Simultaneous source location von Andreev, Konstantin, Garrod, Charles, Golovin, Daniel, Maggs, Bruce, Meyerson, Adam

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Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization von Song, Xingyou, Perel, Sagi, Lee, Chansoo, Kochanski, Greg, Golovin, Daniel

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Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization von Golovin, Daniel, Zhang, Qiuyi

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The Vizier Gaussian Process Bandit Algorithm von Song, Xingyou, Zhang, Qiuyi, Lee, Chansoo, Fertig, Emily, Huang, Tzu-Kuo, Belenki, Lior, Kochanski, Greg, Ariafar, Setareh, Vasudevan, Srinivas, Perel, Sagi, Golovin, Daniel

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SmartChoices: Augmenting Software with Learned Implementations von Golovin, Daniel, Bartok, Gabor, Chen, Eric, Donahue, Emily, Huang, Tzu-Kuo, Kokiopoulou, Efi, Qin, Ruoyan, Sarda, Nikhil, Sybrandt, Justin, Tjeng, Vincent

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The B-Skip-List: A Simpler Uniquely Represented Alternative to B-Trees von Golovin, Daniel

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Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization von Song, Xingyou, Perel, Sagi, Lee, Chansoo, Kochanski, Greg, Golovin, Daniel

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Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization von Golovin, Daniel, Krause, Andreas

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Optimization of parameters of a system, product, or process von Sculley, II, David W, Golovin, Daniel Reuben, Solnik, Benjamin, Moitra, Subhodeep

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Optimization of parameter values for machine-learned models von Kochanski, Gregory Peter, Sculley, II, David W, Golovin, Daniel Reuben, Solnik, Benjamin, Moitra, Subhodeep

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Gradientless Descent: High-Dimensional Zeroth-Order Optimization von Golovin, Daniel, Karro, John, Kochanski, Greg, Lee, Chansoo, Song, Xingyou, Zhang, Qiuyi

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Optimization of Parameters of a System, Product, or Process von Sculley, II, David W, Golovin, Daniel Reuben, Solnik, Benjamin, Moitra, Subhodeep

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Optimization of Parameter Values for Machine-Learned Models von Kochanski, Gregory Peter, Sculley, II, David W, Golovin, Daniel Reuben, Solnik, Benjamin, Moitra, Subhodeep

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