首页|New Findings from Swiss National Bank in the Area of Machine Learning Reported ( Calibrating Doubly-robust Estimators With Unbalanced Treatment Assignment)
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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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.”
ZurichSwitzerlandEuropeBusinessB usinessCyborgsEmerging TechnologiesMachine LearningSwiss National BankSwiss National Bank
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