most citedDouble/Debiased Machine Learning for Logistic Partially Linear Model

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

stat.ML2021

Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices

Doudou Zhou, Tianxi Cai, Junwei Lu

Matrix completion has attracted attention in many fields, including statistics, applied mathematics, and electrical engineering. Most of the works focus on the independent sampling…

stat.ME2020★ 2 cited

Double/Debiased Machine Learning for Logistic Partially Linear Model

Molei Liu, Yi Zhang, Doudou Zhou

We propose double/debiased machine learning approaches to infer (at the parametric rate) the parametric component of a logistic partially linear model with the binary response foll…