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All publications by Daniel Golovin
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Hidden Technical Debt in Machine Learning Systems
D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young, Jean-françcois Crespo and Dan Dennison
Advances in Neural Information Processing Systems 28, 2015


Large-Scale Learning with Less RAM via Randomization
Daniel Golovin, D. Sculley, Brendan Mcmahan and Michael Young
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Near-Optimal Bayesian Active Learning with Noisy Observations
Daniel Golovin, Andreas Krause and Debajyoti Ray
Advances in Neural Information Processing Systems 23, 2010


Online Learning of Assignments
Matthew Streeter, Daniel Golovin and Andreas Krause
Advances in Neural Information Processing Systems 22, 2009


An Online Algorithm for Maximizing Submodular Functions
Matthew Streeter and Daniel Golovin
Advances in Neural Information Processing Systems 21, 2008