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Items where Person is "Golovin-D"

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Jump to: 2014 | 2011 | 2010
Number of items: 8.

2014

Krause, Andreas and Golovin, Daniel and Converse, Sarah (2014) Sequential Decision Making in Computational Sustainability Through Adaptive Submodularity. Ai Magazine, 35 (2). pp. 8-18. ISSN 0738-4602. https://resolver.caltech.edu/CaltechAUTHORS:20140718-131440488

2011

Golovin, Daniel and Krause, Andreas and Gardner, Beth et al. (2011) Dynamic Resource Allocation in Conservation Planning. In: Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence , Menlo Park, CA, pp. 1331-1336. ISBN 978-1-57735-507-6. https://resolver.caltech.edu/CaltechAUTHORS:20110816-145003751

Echenique, Federico and Golovin, Daniel and Wierman, Adam (2011) A revealed preference approach to computational complexity in economics. In: Proceedings of the 12th ACM conference on Electronic commerce. Association for Computing Machinery (ACM) , New York, NY, pp. 101-110. ISBN 978-1-4503-0261-6 . https://resolver.caltech.edu/CaltechAUTHORS:20120521-110926358

Echenique, Federico and Golovin, Daniel and Wierman, Adam (2011) Complexity and economics: computational constraints may not matter empirically. ACM SIGecom Exchanges, 10 (1). pp. 2-5. ISSN 1551-9031. https://resolver.caltech.edu/CaltechAUTHORS:20160321-131503486

Golovin, Daniel and Krause, Andreas (2011) Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization. Journal of Artificial Intelligence Research, 42 . pp. 427-486. ISSN 1076-9757. https://resolver.caltech.edu/CaltechAUTHORS:20120104-101318653

2010

Echenique, Federico and Golovin, Daniel and Wierman, Adam (2010) A Revealed Preference Approach to Computational Complexity in Economics. Social Science Working Paper, 1333. California Institute of Technology , Pasadena, CA. https://resolver.caltech.edu/CaltechAUTHORS:20100928-150942227

Golovin, Daniel and Faulkner, Matthew and Krause, Andreas (2010) Online distributed sensor selection. In: IPSN '10 Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks. ACM , New York, NY, pp. 220-231. ISBN 978-1-60558-988-6. https://resolver.caltech.edu/CaltechAUTHORS:20161026-171346171

Streeter, Matthew and Golovin, Daniel and Krause, Andreas (2010) Online Learning of Assignments. In: Advances in Neural Information Processing Systems 22 (NIPS 2009). Advances in Neural Information Processing Systems. No.22. Neural Information Processing Systems Foundation , La Jolla, CA. ISBN 9781615679119. https://resolver.caltech.edu/CaltechAUTHORS:20160331-163749460

This list was generated on Wed Oct 16 07:17:38 2019 PDT.