首页|University of Texas Austin Researcher Updates Knowledge of Machine Learning (Calibration of Heterogeneous Treatment Effects in Randomized Experiments)
University of Texas Austin Researcher Updates Knowledge of Machine Learning (Calibration of Heterogeneous Treatment Effects in Randomized Experiments)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news originatingfrom the University of Texas Austin by NewsRx correspondents, research stated, “Machine learning iscommonly used to estimate the heterogeneous treatment effects (HTEs) in randomized experiments.”
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