Daniel Golovin
Daniel Golovin
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Cited by
Cited by
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
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
Submodular function maximization.
A Krause, D Golovin
Tractability 3 (71-104), 3, 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
Adaptive submodularity: Theory and applications in active learning and stochastic optimization
D Golovin, A Krause
Journal of Artificial Intelligence Research 42, 427-486, 2011
Machine learning: The high interest credit card of technical debt
D Sculley, G Holt, D Golovin, E Davydov, T Phillips, D Ebner, ...
SE4ML: software engineering for machine learning (NIPS 2014 Workshop) 111, 112, 2014
An online algorithm for maximizing submodular functions
M Streeter, D Golovin
Advances in Neural Information Processing Systems 21, 2008
Near-optimal bayesian active learning with noisy observations
D Golovin, A Krause, D Ray
Advances in Neural Information Processing Systems 23, 2010
Combining multiple heuristics online
M Streeter, D Golovin, SF Smith
AAAI, 1197-1203, 2007
Online distributed sensor selection
D Golovin, M Faulkner, A Krause
Proceedings of the 9th ACM/IEEE International Conference on Information …, 2010
Max-min fair allocation of indivisible goods
D Golovin
School of Computer Science, Carnegie Mellon University, 2005
Online learning of assignments
M Streeter, D Golovin, A Krause
Advances in neural information processing systems 22, 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
Strongly history-independent hashing with applications
GE Blelloch, D Golovin
48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 272-282, 2007
Approximating the k-multicut problem
D Golovin, V Nagarajan, M Singh
SODA 6, 621-630, 2006
Random hypervolume scalarizations for provable multi-objective black box optimization
R Zhang, D Golovin
International conference on machine learning, 11096-11105, 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
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
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
Randomized sensing in adversarial environments
A Krause, A Roper, D Golovin
Twenty-Second International Joint Conference on Artificial Intelligence, 2011
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