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Efficient Policy Learning from Surrogate-Loss Classification Reductions

Efficient Policy Learning from Surrogate-Loss Classification Reductions

International Conference on Machine Learning (ICML), 2020
12 February 2020
Andrew Bennett
Nathan Kallus
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Efficient Policy Learning from Surrogate-Loss Classification Reductions"

12 / 12 papers shown
Treatment Effect Estimation for Optimal Decision-Making
Treatment Effect Estimation for Optimal Decision-Making
Dennis Frauen
Valentyn Melnychuk
Jonas Schweisthal
Mihaela van der Schaar
Stefan Feuerriegel
CML
409
6
0
19 May 2025
Reliable Off-Policy Learning for Dosage Combinations
Reliable Off-Policy Learning for Dosage CombinationsNeural Information Processing Systems (NeurIPS), 2023
Jonas Schweisthal
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
OffRL
333
15
0
31 May 2023
Estimation Beyond Data Reweighting: Kernel Method of Moments
Estimation Beyond Data Reweighting: Kernel Method of MomentsInternational Conference on Machine Learning (ICML), 2023
Heiner Kremer
Yassine Nemmour
Bernhard Schölkopf
Jia-Jie Zhu
325
7
0
18 May 2023
Fair Off-Policy Learning from Observational Data
Fair Off-Policy Learning from Observational DataInternational Conference on Machine Learning (ICML), 2023
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
FaMLOffRL
391
11
0
15 Mar 2023
Functional Generalized Empirical Likelihood Estimation for Conditional
  Moment Restrictions
Functional Generalized Empirical Likelihood Estimation for Conditional Moment RestrictionsInternational Conference on Machine Learning (ICML), 2022
Heiner Kremer
Jia-Jie Zhu
Krikamol Muandet
Bernhard Schölkopf
258
9
0
11 Jul 2022
Interpretable Off-Policy Learning via Hyperbox Search
Interpretable Off-Policy Learning via Hyperbox SearchInternational Conference on Machine Learning (ICML), 2022
D. Tschernutter
Tobias Hatt
Stefan Feuerriegel
OffRLCML
295
7
0
04 Mar 2022
Generalizing Off-Policy Learning under Sample Selection Bias
Generalizing Off-Policy Learning under Sample Selection Bias
Tobias Hatt
D. Tschernutter
Stefan Feuerriegel
OffRL
215
21
0
02 Dec 2021
Policy Learning with Adaptively Collected Data
Policy Learning with Adaptively Collected DataManagement Sciences (MS), 2021
Ruohan Zhan
Zhimei Ren
Susan Athey
Zhengyuan Zhou
OffRL
343
33
0
05 May 2021
The Variational Method of Moments
The Variational Method of Moments
Andrew Bennett
Nathan Kallus
452
32
0
17 Dec 2020
Rejoinder: New Objectives for Policy Learning
Rejoinder: New Objectives for Policy LearningJournal of the American Statistical Association (JASA), 2020
Nathan Kallus
257
1
0
05 Dec 2020
Interpretable Personalization via Policy Learning with Linear Decision
  Boundaries
Interpretable Personalization via Policy Learning with Linear Decision Boundaries
Zhaonan Qu
Isabella Qian
Zhengyuan Zhou
OffRL
354
0
0
17 Mar 2020
More Efficient Policy Learning via Optimal Retargeting
More Efficient Policy Learning via Optimal RetargetingJournal of the American Statistical Association (JASA), 2019
Nathan Kallus
OffRL
340
44
0
20 Jun 2019
1
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