Daniel Golovin

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Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
D. SculleyKaggle & GoogleVerified email at google.com
Benjamin SolnikGoogleVerified email at google.com
Subhodeep MoitraGoogleVerified email at google.com
Todd PhillipsGoogle AdsVerified email at google.com
Matthew StreeterGoogle, Inc.Verified email at mattstreeter.org
H. Brendan McMahanResearch Scientist, Google SeattleVerified email at google.com
Vinay ChaudharyVerified email at google.com
Debajyoti RayCaltechVerified email at caltech.edu
Stephen F. SmithResearch Professor of Robotics, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Guy BlellochProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Adam WiermanProfessor of Computing & Mathematical Sciences, CaltechVerified email at caltech.edu
Federico EcheniqueVerified email at caltech.edu
Sarah J ConverseUSGS, Washington Cooperative Fish and Wildlife Research Unit, University of WashingtonVerified email at uw.edu
Vineet GoyalColumbia UniversityVerified email at ieor.columbia.edu
R RaviCarnegie Mellon UnviersityVerified email at andrew.cmu.edu
Bruce MaggsProfessor of Computer Science, Duke UniversityVerified email at cs.duke.edu
Viswanath NagarajanUniversity of MichiganVerified email at umich.edu
Mohit SinghAssociate Professor, Georgia Institute of TechnologyVerified email at gatech.edu
Beth GardnerAssociate Professor of Wildlife Biology, University of WashingtonVerified email at uw.edu

Daniel Golovin

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Machine Learning Algorithms Computational Economics


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Hidden technical debt in machine learning systems D Sculley, G Holt, D Golovin, E Davydov, T Phillips, D Ebner, ... Advances in neural information processing systems 28, 2015	1273	2015
Ad click prediction: a view from the trenches HB McMahan, G Holt, D Sculley, M Young, D Ebner, J Grady, L Nie, ... Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	1068	2013
Submodular function maximization. A Krause, D Golovin Tractability 3 (71-104), 3, 2014	964	2014
Google vizier: A service for black-box optimization D Golovin, B Solnik, S Moitra, G Kochanski, J Karro, D Sculley Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017	769	2017
Adaptive submodularity: Theory and applications in active learning and stochastic optimization D Golovin, A Krause Journal of Artificial Intelligence Research 42, 427-486, 2011	657	2011
Machine learning: The high interest credit card of technical debt D Sculley, G Holt, D Golovin, E Davydov, T Phillips, D Ebner, ...	339	2014
An online algorithm for maximizing submodular functions M Streeter, D Golovin Advances in Neural Information Processing Systems 21, 2008	290	2008
Near-optimal bayesian active learning with noisy observations D Golovin, A Krause, D Ray Advances in Neural Information Processing Systems 23, 2010	224	2010
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization. D Golovin, A Krause COLT, 333-345, 2010	133	2010
Combining multiple heuristics online M Streeter, D Golovin, SF Smith AAAI, 1197-1203, 2007	109	2007
Online distributed sensor selection D Golovin, M Faulkner, A Krause Proceedings of the 9th ACM/IEEE International Conference on Information …, 2010	90	2010
Max-min fair allocation of indivisible goods D Golovin School of Computer Science, Carnegie Mellon University, 2005	86	2005
Online learning of assignments M Streeter, D Golovin, A Krause Advances in neural information processing systems 22, 2009	81	2009
Gradientless descent: High-dimensional zeroth-order optimization D Golovin, J Karro, G Kochanski, C Lee, X Song, Q Zhang arXiv preprint arXiv:1911.06317, 2019	61	2019
Approximating the k-multicut problem D Golovin, V Nagarajan, M Singh SODA 6, 621-630, 2006	57	2006
Strongly history-independent hashing with applications GE Blelloch, D Golovin 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 272-282, 2007	56	2007
Random hypervolume scalarizations for provable multi-objective black box optimization R Zhang, D Golovin International Conference on Machine Learning, 11096-11105, 2020	46	2020
Online submodular maximization under a matroid constraint with application to learning assignments D Golovin, A Krause, M Streeter arXiv preprint arXiv:1407.1082, 2014	46	2014
Optimization of Parameter Values for Machine-Learned Models DR Golovin, B Solnik, S Moitra, IIDW Sculley, GP Kochanski US Patent App. 16/615,303, 2020	41	2020
Dynamic resource allocation in conservation planning D Golovin, A Krause, B Gardner, S Converse, S Morey Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 1331-1336, 2011	38	2011

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