Robotics & Machine Learning Daily News2024,Issue(Jun.11) :62-63.

Study Results from Shanghai Jiao Tong University Broaden Understanding of Machin e Learning (Assumption-lean Falsification Tests of Rate Double-robustness of Dou ble-machine-learning Estimators)

上海交通大学的研究成果拓宽了对机器学习的理解(Double-机器学习估计器速率双稳健性的假设-精益伪造检验)

Robotics & Machine Learning Daily News2024,Issue(Jun.11) :62-63.

Study Results from Shanghai Jiao Tong University Broaden Understanding of Machin e Learning (Assumption-lean Falsification Tests of Rate Double-robustness of Dou ble-machine-learning Estimators)

上海交通大学的研究成果拓宽了对机器学习的理解(Double-机器学习估计器速率双稳健性的假设-精益伪造检验)

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摘要

Robotics&Machine Learning Daily News的一位新闻记者兼工作人员新闻编辑每日新闻-机器学习的新数据在一份新的报告中呈现。根据NewsRx编辑在上海发布的《中国人民日报》的新闻报道,研究称,“Rotnitzky等人(2021)研究的双稳健(DR)泛函类在经济学和生物统计学中具有核心重要性。它严格包括(i)可写成Chernozhukov等人(2022b)研究的条件期望仿射函数的期望的均方U连续泛函类和Robins等人(2008)研究的泛函类。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Shanghai, People’s Re public of China, by NewsRx editors, research stated, “The class of doubly robust (DR) functionals studied by Rotnitzky et al. (2021) is of central importance in economics and biostatistics. It strictly includes both (i) the class of mean-sq uare continuous functionals that can be written as an expectation of an affine f unctional of a conditional expectation studied by Chernozhukov et al. (2022b) an d the class of functionals studied by Robins et al. (2008).”

Key words

Shanghai/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Shanghai Jiao Tong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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