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More Efficient Policy Learning via Optimal Retargeting

More Efficient Policy Learning via Optimal Retargeting

20 June 2019
Nathan Kallus
    OffRL
ArXivPDFHTML

Papers citing "More Efficient Policy Learning via Optimal Retargeting"

15 / 15 papers shown
Title
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data
Dennis Frauen
Maresa Schröder
Konstantin Hess
Stefan Feuerriegel
CML
36
0
0
19 May 2025
Practical Performative Policy Learning with Strategic Agents
Practical Performative Policy Learning with Strategic Agents
Qianyi Chen
Ying Chen
Bo Li
118
0
0
02 Dec 2024
Contextual Linear Optimization with Bandit Feedback
Contextual Linear Optimization with Bandit Feedback
Yichun Hu
Nathan Kallus
Xiaojie Mao
Yanchen Wu
42
0
0
26 May 2024
Confounding-Robust Policy Improvement with Human-AI Teams
Confounding-Robust Policy Improvement with Human-AI Teams
Ruijiang Gao
Mingzhang Yin
37
3
0
13 Oct 2023
Fair Off-Policy Learning from Observational Data
Fair Off-Policy Learning from Observational Data
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
FaML
OffRL
30
6
0
15 Mar 2023
Balanced Off-Policy Evaluation for Personalized Pricing
Balanced Off-Policy Evaluation for Personalized Pricing
Adam N. Elmachtoub
Vishal Gupta
Yunfan Zhao
OffRL
42
6
0
24 Feb 2023
Learning Complementary Policies for Human-AI Teams
Learning Complementary Policies for Human-AI Teams
Ruijiang Gao
M. Saar-Tsechansky
Maria De-Arteaga
Ligong Han
Wei-Ju Sun
Min Kyung Lee
Matthew Lease
46
8
0
06 Feb 2023
Counterfactual Learning with Multioutput Deep Kernels
Counterfactual Learning with Multioutput Deep Kernels
A. Caron
G. Baio
I. Manolopoulou
BDL
CML
OffRL
27
1
0
20 Nov 2022
Boosted Off-Policy Learning
Boosted Off-Policy Learning
Ben London
Levi Lu
Ted Sandler
Thorsten Joachims
OffRL
51
4
0
01 Aug 2022
Transferred Q-learning
Transferred Q-learning
Elynn Y. Chen
Michael I. Jordan
Sai Li
OffRL
OnRL
36
4
0
09 Feb 2022
Loss Functions for Discrete Contextual Pricing with Observational Data
Loss Functions for Discrete Contextual Pricing with Observational Data
Max Biggs
Ruijiang Gao
Wei-Ju Sun
36
10
0
18 Nov 2021
Parameterising the effect of a continuous exposure using average
  derivative effects
Parameterising the effect of a continuous exposure using average derivative effects
Oliver Hines
Karla Diaz-Ordaz
S. Vansteelandt
19
10
0
27 Sep 2021
Constrained Classification and Policy Learning
Constrained Classification and Policy Learning
T. Kitagawa
Shosei Sakaguchi
A. Tetenov
OffRL
39
12
0
24 Jun 2021
Robust Sample Weighting to Facilitate Individualized Treatment Rule
  Learning for a Target Population
Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population
Rui Chen
J. Huling
Guanhua Chen
Menggang Yu
CML
14
1
0
03 May 2021
Rejoinder: New Objectives for Policy Learning
Rejoinder: New Objectives for Policy Learning
Nathan Kallus
52
1
0
05 Dec 2020
1