首页|Reports Summarize Machine Learning Findings from Harbin Insti- tute of Technology (Weighted Doubly Robust Learning: an Uplift Modeling Technique for Estimating Mixed Treatments' Effect)
Reports Summarize Machine Learning Findings from Harbin Insti- tute of Technology (Weighted Doubly Robust Learning: an Uplift Modeling Technique for Estimating Mixed Treatments' Effect)
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NETL
NSTL
Elsevier
2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting orig- inating from Harbin, People’s Republic of China, by NewsRx correspondents, research stated, “Estimating the effect of mixed treatments is a crucial problem in causal inference. While previous studies have focused on econometric analysis, few have positioned the mixed treatment problem within the realm of causal machine learning, particularly in uplift modeling.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), Natural Science Foundation of Heilongjiang Province, Philosophy and Social Sciences Research Planned Project of Heilongjiang Province, China.
HarbinPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHarbin Institute of Technology
NETL
NSTL
Elsevier
