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2505.08092
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Doubly Robust Fusion of Many Treatments for Policy Learning
12 May 2025
Ke Zhu
Jianing Chu
I. Lipkovich
Wenyu Ye
Shu Yang
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Papers citing
"Doubly Robust Fusion of Many Treatments for Policy Learning"
25 / 25 papers shown
Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data
Yi Zhang
Melody Huang
Kosuke Imai
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333
7
0
15 Dec 2024
Robust Offline Policy Learning with Observational Data from Multiple Sources
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Aldo G. Carranza
Susan Athey
OffRL
285
2
0
11 Oct 2024
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model
International Conference on Machine Learning (ICML), 2024
Chenyin Gao
Zhiming Zhang
Shu Yang
277
4
0
18 May 2024
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
Imad Aouali
Victor-Emmanuel Brunel
David Rohde
Anna Korba
OffRL
392
10
0
22 Feb 2024
Off-Policy Evaluation for Large Action Spaces via Policy Convolution
The Web Conference (WWW), 2023
Noveen Sachdeva
Lequn Wang
Dawen Liang
Nathan Kallus
Julian McAuley
OffRL
339
17
0
24 Oct 2023
Reliable Off-Policy Learning for Dosage Combinations
Neural Information Processing Systems (NeurIPS), 2023
Jonas Schweisthal
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
OffRL
333
15
0
31 May 2023
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling
International Conference on Machine Learning (ICML), 2023
Yuta Saito
Qingyang Ren
Thorsten Joachims
CML
OffRL
355
33
0
14 May 2023
Augmented balancing weights as linear regression
David Bruns-Smith
O. Dukes
Avi Feller
Elizabeth L. Ogburn
367
33
0
27 Apr 2023
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
Neural Information Processing Systems (NeurIPS), 2023
Abhineet Agarwal
Anish Agarwal
Suhas Vijaykumar
CML
350
11
0
24 Mar 2023
Zero-shot causal learning
Neural Information Processing Systems (NeurIPS), 2023
H. Nilforoshan
Michael Moor
Yusuf Roohani
Yining Chen
Anja vSurina
Michihiro Yasunaga
Sara Oblak
J. Leskovec
CML
BDL
OffRL
396
19
0
28 Jan 2023
Conformal Off-policy Prediction
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yingying Zhang
C. Shi
Shuang Luo
OffRL
325
15
0
14 Jun 2022
Conformal Off-Policy Prediction in Contextual Bandits
Neural Information Processing Systems (NeurIPS), 2022
Muhammad Faaiz Taufiq
Jean-François Ton
R. Cornish
Yee Whye Teh
Arnaud Doucet
OffRL
418
27
0
09 Jun 2022
Off-Policy Evaluation for Large Action Spaces via Embeddings
International Conference on Machine Learning (ICML), 2022
Yuta Saito
Thorsten Joachims
OffRL
298
60
0
13 Feb 2022
Targeted Optimal Treatment Regime Learning Using Summary Statistics
Biometrika (Biometrika), 2022
Jianing Chu
Wenbin Lu
Shu Yang
CML
280
29
0
17 Jan 2022
Causal Effect Inference for Structured Treatments
Neural Information Processing Systems (NeurIPS), 2021
Jean Kaddour
Yuchen Zhu
Qi Liu
Matt J. Kusner
Ricardo M. A. Silva
CML
550
56
0
03 Jun 2021
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings
Neural Information Processing Systems (NeurIPS), 2020
Hengrui Cai
C. Shi
R. Song
Wenbin Lu
OffRL
397
16
0
29 Oct 2020
Learning Optimal Distributionally Robust Individualized Treatment Rules
Weibin Mo
Zhengling Qi
Yufeng Liu
259
53
0
26 Jun 2020
Learning Robust Decision Policies from Observational Data
Neural Information Processing Systems (NeurIPS), 2020
Muhammad Osama
Dave Zachariah
Petre Stoica
OOD
OffRL
208
6
0
03 Jun 2020
Nonparametric inverse probability weighted estimators based on the highly adaptive lasso
Ashkan Ertefaie
N. Hejazi
M. J. van der Laan
401
31
0
22 May 2020
Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research
B. Birnbaum
N. Nussbaum
Kathi Seidl-Rathkopf
Monica Agrawal
M. Estévez
Evan Estola
J. Haimson
Lucy He
Peter Larson
P. Richardson
OOD
181
247
0
13 Jan 2020
High dimensional precision medicine from patient-derived xenografts
Journal of the American Statistical Association (JASA), 2019
N. Rashid
Daniel J. Luckett
Jingxiang Chen
Michael T. Lawson
Longshaokan Wang
...
Eric B. Laber
Yufeng Liu
J. Yeh
D. Zeng
Michael R. Kosorok
173
10
0
13 Dec 2019
Semi-Parametric Efficient Policy Learning with Continuous Actions
Neural Information Processing Systems (NeurIPS), 2019
Mert Demirer
Vasilis Syrgkanis
Greg Lewis
Victor Chernozhukov
OffRL
346
57
0
24 May 2019
Offline Multi-Action Policy Learning: Generalization and Optimization
Zhengyuan Zhou
Susan Athey
Stefan Wager
OffRL
250
144
0
10 Oct 2018
The Impact of Random Models on Clustering Similarity
bioRxiv (bioRxiv), 2017
Alexander J. Gates
Yong-Yeol Ahn
319
143
0
23 Jan 2017
Performance guarantees for individualized treatment rules
Annals of Statistics (Ann. Stat.), 2011
Min Qian
Susan Murphy
625
606
0
17 May 2011
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