A Practically Competitive and Provably Consistent Algorithm for Uplift Modeling
Randomized experiments have been critical tools of decision making for decades. However, subjects can show significant heterogeneity in response to treatments in many important applications. Therefore it is not enough to simply know which treatment is optimal for the entire population. What we need...
Main Authors: | Zhao, Yan (Contributor), Fang, Xiao (Contributor), Simchi-Levi, David (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Institute for Data, Systems, and Society (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2018-08-22T18:03:46Z.
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Subjects: | |
Online Access: | Get fulltext |
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