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Optimal regimes for algorithm-assisted human decision-making

Optimal regimes for algorithm-assisted human decision-making

6 March 2022
M. Stensrud
Julien David Laurendeau
Aaron L Sarvet
ArXivPDFHTML

Papers citing "Optimal regimes for algorithm-assisted human decision-making"

9 / 9 papers shown
Title
Deep Causal Behavioral Policy Learning: Applications to Healthcare
Jonas Knecht
Anna Zink
Jonathan Kolstad
Maya Petersen
CML
88
0
0
05 Mar 2025
A Graphical Approach to State Variable Selection in Off-policy Learning
Joakim Blach Andersen
Qingyuan Zhao
CML
OffRL
33
0
0
03 Jan 2025
Learning Robust Treatment Rules for Censored Data
Learning Robust Treatment Rules for Censored Data
Yifan Cui
Junyi Liu
Tao Shen
Zhengling Qi
Xi Chen
25
0
0
17 Aug 2024
Evaluating and Correcting Performative Effects of Decision Support
  Systems via Causal Domain Shift
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift
Philip A. Boeken
O. Zoeter
Joris M. Mooij
36
1
0
01 Mar 2024
Personalized Pricing with Invalid Instrumental Variables:
  Identification, Estimation, and Policy Learning
Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning
Rui Miao
Zhengling Qi
Cong Shi
Lin Lin
19
2
0
24 Feb 2023
Personalised Decision-Making without Counterfactuals
Personalised Decision-Making without Counterfactuals
A. Dawid
S. Senn
OffRL
35
4
0
27 Jan 2023
Optimal Treatment Regimes for Proximal Causal Learning
Optimal Treatment Regimes for Proximal Causal Learning
Tao Shen
Yifan Cui
CML
38
3
0
19 Dec 2022
Nonparametric Estimation of Conditional Incremental Effects
Nonparametric Estimation of Conditional Incremental Effects
Alec McClean
Zach Branson
Edward H. Kennedy
CML
26
8
0
07 Dec 2022
Proximal Learning for Individualized Treatment Regimes Under Unmeasured
  Confounding
Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding
Zhengling Qi
Rui Miao
Xiaoke Zhang
CML
34
28
0
03 May 2021
1