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Daniel S. Weld

Affiliations: 
University of Washington, Seattle, Seattle, WA 
Area:
Computer Science
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"Daniel Weld"
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Parents

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Tomás Lozano-Pérez grad student 1984-1988 MIT (Neurotree)

Children

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Keith Golden grad student 1997 University of Washington
Tessa A. Lau grad student 2001 University of Washington
Corin R. Anderson grad student 2002 University of Washington
Eytan Adar grad student 2009 University of Washington
Andrey Kolobov grad student 2013 University of Washington
Andrew Head post-doc 2021-2021 Allen Institute for AI
Daniel King research scientist (Neurotree)

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Publications

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Wu T, Weld DS, Heer J. (2019) Local Decision Pitfalls in Interactive Machine Learning Acm Transactions On Computer-Human Interaction. 26: 1-27
Ling X, Singh S, Weld D. (2015) Design Challenges for Entity Linking Transactions of the Association For Computational Linguistics. 3: 315-328
Zhang C, Soderland S, Weld D. (2015) Exploiting Parallel News Streams for Unsupervised Event Extraction Transactions of the Association For Computational Linguistics. 3: 117-129
Dai P, Lin CH, Mausam, et al. (2013) POMDP-based control of workflows for crowdsourcing Artificial Intelligence. 202: 52-85
Kolobov A, Mausam, Weld DS. (2013) Joint crowdsourcing of multiple tasks Aaai Workshop - Technical Report. 36-37
Kolobov A, Mausam, Weld DS. (2012) Discovering hidden structure in factored MDPs Artificial Intelligence. 189: 19-47
Weld DS, Adar E, Chilton L, et al. (2012) PersonaLized online education - A crowdsourcing challenge Aaai Workshop - Technical Report. 159-163
Kolobov A, Mausam, Weld DS. (2012) LRTDP versus UCT for online probabilistic planning Proceedings of the National Conference On Artificial Intelligence. 3: 1786-1792
Kolobov A, Dai P, Mausam, et al. (2012) Reverse iterative deepening for finite-horizon MDPs with large branching factors Icaps 2012 - Proceedings of the 22nd International Conference On Automated Planning and Scheduling. 146-154
Weld DS. (2011) AAAI-10 Classic Paper Award: Systematic Nonlinear Planning A Commentary Ai Magazine. 32: 101
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