default search action

combined dblp search
author search
venue search
publication search

ask others

"Efficient augmentation and relaxation learning for individualized ..."

Ying-Qi Zhao et al. (2019)

> Home

Details and statistics

DOI: —

access: open

type: Journal Article

metadata version: 2024-09-11

- view
  - electronic edition @ jmlr.org (open access)
- export record
  dblp key:
  - journals/jmlr/ZhaoLNSS19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jmlr/ZhaoLNSS19
Ying-Qi Zhao, Eric B. Laber, Yang Ning, Sumona Saha, Bruce E. Sands:
Efficient augmentation and relaxation learning for individualized treatment rules using observational data. J. Mach. Learn. Res. 20: 48:1-48:23 (2019)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.