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Career
·
Distinguished Research Engineer
,
Google DeepMind
2011–
·
Assistant Professor
,
Caltech
2009–2011
·
Postdoctoral Researcher
,
Caltech
·
Professor
,
Carnegie Mellon University
Publications
(55)
Hidden Technical Debt in Machine Learning Systems
Neural Information Processing Systems · 2015
1,261
cited
Ad click prediction: a view from the trenches
Knowledge Discovery and Data Mining · 2013
1,020
cited
Submodular Function Maximization
Tractability · 2014
986
cited
Google Vizier: A Service for Black-Box Optimization
Knowledge Discovery and Data Mining · 2017
807
cited
Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization
Journal of Artificial Intelligence Research · 2010
639
cited
Machine Learning: The High Interest Credit Card of Technical Debt
2014
324
cited
An Online Algorithm for Maximizing Submodular Functions
Neural Information Processing Systems · 2008
282
cited
Near-Optimal Bayesian Active Learning with Noisy Observations
Neural Information Processing Systems · 2010
207
cited
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization
Annual Conference Computational Learning Theory · 2010
134
cited
Combining Multiple Heuristics Online
AAAI Conference on Artificial Intelligence · 2007
104
cited
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization
International Conference on Machine Learning · 2020
92
cited
Online Learning of Assignments
Neural Information Processing Systems · 2009
84
cited
Gradientless Descent: High-Dimensional Zeroth-Order Optimization
International Conference on Learning Representations · 2019
83
cited
Max-min fair allocation of indivisible goods
2005
80
cited
Online distributed sensor selection
International Symposium on Information Processing in Sensor Networks · 2010
77
cited
Online Submodular Maximization under a Matroid Constraint with Application to Learning Assignments
arXiv.org · 2014
54
cited
Strongly History-Independent Hashing with Applications
IEEE Annual Symposium on Foundations of Computer Science · 2007
48
cited
Approximating the k-multicut problem
ACM-SIAM Symposium on Discrete Algorithms · 2006
46
cited
Bayesian Optimization for a Better Dessert
2017
34
cited
Dynamic Resource Allocation in Conservation Planning
AAAI Conference on Artificial Intelligence · 2011
34
cited
Show all 55 papers →
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Daniel Golovin | Researcher Profile | Sotabase | Sotabase