3 papers
cs.LG2022
Compressing Features for Learning with Noisy Labels
Yingyi Chen, Shell Xu Hu, Xi Shen +2
Supervised learning can be viewed as distilling relevant information from input data into feature representations. This process becomes difficult when supervision is noisy as the d…
econ.EM2018
A Simple and Efficient Estimation of the Average Treatment Effect in the Presence of Unmeasured Confounders
Chunrong Ai, Lukang Huang, Zheng Zhang
Wang and Tchetgen Tchetgen (2017) studied identification and estimation of the average treatment effect when some confounders are unmeasured. Under their identification condition,…
stat.ME2018
A Simple and Efficient Estimation Method for Models with Nonignorable Missing Data
Chunrong Ai, Oliver Linton, Zheng Zhang
This paper proposes a simple and efficient estimation procedure for the model with non-ignorable missing data studied by Morikawa and Kim (2016). Their semiparametrically efficient…