Robust Outcome Weighted Learning for Optimal Individualized Treatment Rules
10.1080/10543406.2019.1633657
Saved in:
Main Authors: | Sheng Fu, Qinying He, Sanguo Zhang, Yufeng Liu |
---|---|
Other Authors: | INDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT |
Format: | Article |
Published: |
Taylor & Francis
2019
|
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/157597 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Estimating individualized treatment rules using outcome weighted learning
by: Zhao, Y., et al.
Published: (2014) -
Probability-weighted robust optimization for distributed generation planning in microgrids
by: Zhang, Cuo, et al.
Published: (2020) -
ON ADVERSARIAL MACHINE LEARNING AND ROBUST OPTIMIZATION
by: ZHAO YUE
Published: (2022) -
An Approach based on Robust Optimization and Decision Rules for Analyzing Real Options in Engineering Systems Design
by: Aakil Caunhye, et al.
Published: (2018) -
Weighted target interval stochastic control methods with global optimization and their applications in individualizing therapy
by: Ji, S., et al.
Published: (2016)