| 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 | 2207 | 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 | 1261 | 2013 |
| Submodular function maximization. A Krause, D Golovin Tractability 3 (71-104), 3, 2014 | 1247 | 2014 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1217 | 2025 |
| 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 | 1031 | 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 | 893 | 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) 8, 2014 | 428 | 2014 |
| An online algorithm for maximizing submodular functions M Streeter, D Golovin Advances in Neural Information Processing Systems 21, 2008 | 338 | 2008 |
| Near-optimal bayesian active learning with noisy observations D Golovin, A Krause, D Ray Advances in Neural Information Processing Systems 23, 2010 | 255 | 2010 |
| Random hypervolume scalarizations for provable multi-objective black box optimization R Zhang, D Golovin International conference on machine learning, 11096-11105, 2020 | 118 | 2020 |
| Combining multiple heuristics online M Streeter, D Golovin, SF Smith AAAI, 1197-1203, 2007 | 114 | 2007 |
| Online distributed sensor selection D Golovin, M Faulkner, A Krause Proceedings of the 9th ACM/IEEE International Conference on Information …, 2010 | 97 | 2010 |
| Max-min fair allocation of indivisible goods D Golovin School of Computer Science, Carnegie Mellon University, 2005 | 94 | 2005 |
| 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 | 93 | 2019 |
| Online learning of assignments M Streeter, D Golovin, A Krause Advances in neural information processing systems 22, 2009 | 92 | 2009 |
| Strongly history-independent hashing with applications GE Blelloch, D Golovin 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 272-282, 2007 | 65 | 2007 |
| Approximating the k-multicut problem D Golovin, V Nagarajan, M Singh SODA 6, 621-630, 2006 | 59 | 2006 |
| Online submodular maximization under a matroid constraint with application to learning assignments D Golovin, A Krause, M Streeter arXiv preprint arXiv:1407.1082, 2014 | 54 | 2014 |
| Open source vizier: Distributed infrastructure and api for reliable and flexible blackbox optimization X Song, S Perel, C Lee, G Kochanski, D Golovin International Conference on Automated Machine Learning, 8/1-17, 2022 | 44 | 2022 |
| 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 | 43 | 2011 |
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
