Robotics & Machine Learning Daily News2024,Issue(Aug.8) :90-91.

New Findings from Swiss National Bank in the Area of Machine Learning Reported ( Calibrating Doubly-robust Estimators With Unbalanced Treatment Assignment)

Robotics & Machine Learning Daily News2024,Issue(Aug.8) :90-91.

New Findings from Swiss National Bank in the Area of Machine Learning Reported ( Calibrating Doubly-robust Estimators With Unbalanced Treatment Assignment)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsoriginating from Zurich, Switzerland, by NewsRx editors, the research stated, “Machine learning methods,particularly the double machine learning (DML) estimator (Chernozhukov et al., 2018), are inc reasinglypopular for the estimation of the average treatment effect (ATE). Howe ver, datasets often exhibit unbalancedtreatment assignments where only a few ob servations are treated, leading to unstable propensityscore estimations.”

Key words

Zurich/Switzerland/Europe/Business/B usiness/Cyborgs/Emerging Technologies/Machine Learning/Swiss National Bank/Swiss National Bank

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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