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Optimizing Human Input in Social Network Analysis
Technical Report,13 Jul 2016,12 Apr 2017
University of Texas at Austin Austin United States
Pagination or Media Count:
The study focused on developing new bandit algorithms for online optimization e.g. matching tasks to human agents. The attached technical reports provide details on the formulations and results. Specifically, the technical reports focused on a backlog minimization formulation for matching tasks and agents, as well as a contextual bandit formulation focusing on dimensionality reduction.
APPROVED FOR PUBLIC RELEASE