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Debiased Off-Policy Evaluation for Recommendation Systems
v1v2v3 (latest)

Debiased Off-Policy Evaluation for Recommendation Systems

ACM Conference on Recommender Systems (RecSys), 2020
20 February 2020
Yusuke Narita
Shota Yasui
Kohei Yata
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Debiased Off-Policy Evaluation for Recommendation Systems"

9 / 9 papers shown
Breaking Determinism: Stochastic Modeling for Reliable Off-Policy Evaluation in Ad Auctions
Breaking Determinism: Stochastic Modeling for Reliable Off-Policy Evaluation in Ad AuctionsWeb Search and Data Mining (WSDM), 2025
Hongseon Yeom
Jaeyoul Shin
Soojin Min
Jeongmin Yoon
Seunghak Yu
Dongyeop Kang
OffRL
189
0
0
03 Dec 2025
Latent Variable Modeling for Robust Causal Effect Estimation
Latent Variable Modeling for Robust Causal Effect Estimation
Tetsuro Morimura
Tatsushi Oka
Yugo Suzuki
Daisuke Moriwaki
CML
166
0
0
27 Aug 2025
AutoOPE: Automated Off-Policy Estimator Selection
AutoOPE: Automated Off-Policy Estimator Selection
Nicolò Felicioni
Michael Benigni
Maurizio Ferrari Dacrema
OffRL
187
2
0
26 Jun 2024
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
Toru Shirakawa
Yi Li
Yulun Wu
Sky Qiu
Yuxuan Li
Mingduo Zhao
Hiroyasu Iso
Mark van der Laan
282
9
0
05 Apr 2024
On the Opportunities and Challenges of Offline Reinforcement Learning
  for Recommender Systems
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems
Xiaocong Chen
Siyu Wang
Julian McAuley
Dietmar Jannach
Lina Yao
OffRL
273
16
0
22 Aug 2023
Doubly Robust Estimator for Off-Policy Evaluation with Large Action
  Spaces
Doubly Robust Estimator for Off-Policy Evaluation with Large Action SpacesIEEE Symposium Series on Computational Intelligence (IEEE-SSCI), 2023
Tatsuhiro Shimizu
L. Forastiere
OffRL
236
1
0
07 Aug 2023
Policy-Adaptive Estimator Selection for Off-Policy Evaluation
Policy-Adaptive Estimator Selection for Off-Policy EvaluationAAAI Conference on Artificial Intelligence (AAAI), 2022
Takuma Udagawa
Haruka Kiyohara
Yusuke Narita
Yuta Saito
Keisuke Tateno
OffRL
247
27
0
25 Nov 2022
DoubleML -- An Object-Oriented Implementation of Double Machine Learning
  in Python
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in PythonJournal of machine learning research (JMLR), 2021
Philipp Bach
Victor Chernozhukov
Malte S. Kurz
Martin Spindler
VLMGP
226
52
0
07 Apr 2021
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible
  Off-Policy Evaluation
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation
Yuta Saito
Shunsuke Aihara
Megumi Matsutani
Yusuke Narita
OffRL
696
90
0
17 Aug 2020
1
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