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Semi-Parametric Efficient Policy Learning with Continuous Actions

Semi-Parametric Efficient Policy Learning with Continuous Actions

24 May 2019
Mert Demirer
Vasilis Syrgkanis
Greg Lewis
Victor Chernozhukov
    OffRL
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Papers citing "Semi-Parametric Efficient Policy Learning with Continuous Actions"

12 / 12 papers shown
Title
Doubly Robust Fusion of Many Treatments for Policy Learning
Doubly Robust Fusion of Many Treatments for Policy Learning
Ke Zhu
Jianing Chu
I. Lipkovich
Wenyu Ye
Shu Yang
39
0
0
12 May 2025
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
Individualized Policy Evaluation and Learning under Clustered Network Interference
Individualized Policy Evaluation and Learning under Clustered Network Interference
Yi Zhang
Kosuke Imai
OffRL
42
1
0
04 Nov 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
Sequential Counterfactual Risk Minimization
Sequential Counterfactual Risk Minimization
Houssam Zenati
Eustache Diemert
Matthieu Martin
Julien Mairal
Pierre Gaillard
OffRL
29
3
0
23 Feb 2023
Learning to Generate All Feasible Actions
Learning to Generate All Feasible Actions
Mirco Theile
Daniele Bernardini
Raphael Trumpp
C. Piazza
Marco Caccamo
Alberto L. Sangiovanni-Vincentelli
34
2
0
26 Jan 2023
PopArt: Efficient Sparse Regression and Experimental Design for Optimal
  Sparse Linear Bandits
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits
Kyoungseok Jang
Chicheng Zhang
Kwang-Sung Jun
48
14
0
25 Oct 2022
Policy Learning with Adaptively Collected Data
Policy Learning with Adaptively Collected Data
Ruohan Zhan
Zhimei Ren
Susan Athey
Zhengyuan Zhou
OffRL
45
27
0
05 May 2021
Estimating the Effects of Continuous-valued Interventions using
  Generative Adversarial Networks
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks
Ioana Bica
James Jordon
M. Schaar
CML
32
105
0
27 Feb 2020
Efficient Policy Learning from Surrogate-Loss Classification Reductions
Efficient Policy Learning from Surrogate-Loss Classification Reductions
Andrew Bennett
Nathan Kallus
OffRL
31
17
0
12 Feb 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile
  Treatment Effects and Beyond
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond
Nathan Kallus
Xiaojie Mao
Masatoshi Uehara
29
25
0
30 Dec 2019
Kernel Optimal Orthogonality Weighting: A Balancing Approach to
  Estimating Effects of Continuous Treatments
Kernel Optimal Orthogonality Weighting: A Balancing Approach to Estimating Effects of Continuous Treatments
Nathan Kallus
Michele Santacatterina
CML
25
20
0
26 Oct 2019
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