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Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling
International Conference on Machine Learning (ICML), 2023
14 May 2023
Yuta Saito
Qingyang Ren
Thorsten Joachims
CML
OffRL
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Papers citing
"Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling"
26 / 26 papers shown
Off-Policy Learning in Large Action Spaces: Optimization Matters More Than Estimation
Imad Aouali
Otmane Sakhi
OffRL
131
0
0
03 Sep 2025
A General Framework for Off-Policy Learning with Partially-Observed Reward
International Conference on Learning Representations (ICLR), 2025
Rikiya Takehi
Masahiro Asami
K. Kawakami
Yuta Saito
OffRL
221
1
0
17 Jun 2025
Off-Policy Evaluation of Ranking Policies via Embedding-Space User Behavior Modeling
Tatsuki Takahashi
Chihiro Maru
Hiroko Shoji
OffRL
227
0
0
31 May 2025
Doubly Robust Fusion of Many Treatments for Policy Learning
Ke Zhu
Jianing Chu
I. Lipkovich
Wenyu Ye
Shu Yang
458
0
0
12 May 2025
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects
Shu Tamano
OffRL
505
0
0
02 May 2025
Q-function Decomposition with Intervention Semantics with Factored Action Spaces
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Junkyu Lee
Tian Gao
Elliot Nelson
Miao Liu
D. Bhattacharjya
Songtao Lu
OffRL
271
0
0
30 Apr 2025
Counterfactual Inference under Thompson Sampling
ACM Conference on Recommender Systems (RecSys), 2025
Olivier Jeunen
OffRL
LRM
349
1
0
03 Apr 2025
Prompt Optimization with Logged Bandit Data
Haruka Kiyohara
Daniel Yiming Cao
Yuta Saito
Thorsten Joachims
516
2
0
03 Apr 2025
Clustering Context in Off-Policy Evaluation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Daniel Guzman-Olivares
Philipp Schmidt
Jacek Golebiowski
Artur Bekasov
CML
OffRL
218
2
0
28 Feb 2025
Off-policy estimation with adaptively collected data: the power of online learning
Neural Information Processing Systems (NeurIPS), 2024
Jeonghwan Lee
Cong Ma
OffRL
383
1
0
19 Nov 2024
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits
ACM Conference on Recommender Systems (RecSys), 2024
Tatsuhiro Shimizu
Koichi Tanaka
Ren Kishimoto
Haruka Kiyohara
Masahiro Nomura
Yuta Saito
CML
OffRL
368
8
0
20 Aug 2024
Structured Learning of Compositional Sequential Interventions
Neural Information Processing Systems (NeurIPS), 2024
Jialin Yu
Andreas Koukorinis
Nicolo Colombo
Yuchen Zhu
Ricardo Silva
CML
278
2
0
09 Jun 2024
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling
Imad Aouali
Victor-Emmanuel Brunel
David Rohde
Anna Korba
OffRL
283
4
0
05 Jun 2024
Cross-Validated Off-Policy Evaluation
Matej Cief
Branislav Kveton
Michal Kompan
OffRL
369
2
0
24 May 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
Neural Information Processing Systems (NeurIPS), 2024
Otmane Sakhi
Imad Aouali
Pierre Alquier
Nicolas Chopin
OffRL
361
13
0
23 May 2024
Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It
Yuta Saito
Masahiro Nomura
OffRL
353
5
0
23 Apr 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
POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition
Yuta Saito
Jihan Yao
Thorsten Joachims
OffRL
345
14
0
09 Feb 2024
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
International Conference on Learning Representations (ICLR), 2023
Haruka Kiyohara
Ren Kishimoto
K. Kawakami
Ken Kobayashi
Kazuhide Nakata
Yuta Saito
OffRL
522
15
0
30 Nov 2023
SCOPE-RL: A Python Library for Offline Reinforcement Learning and Off-Policy Evaluation
Haruka Kiyohara
Ren Kishimoto
K. Kawakami
Ken Kobayashi
Kazuhide Nakata
Yuta Saito
OffRL
ELM
548
5
0
30 Nov 2023
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
340
17
0
24 Oct 2023
On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top-
n
n
n
Recommendation
Knowledge Discovery and Data Mining (KDD), 2023
Olivier Jeunen
Ivan Potapov
Aleksei Ustimenko
ELM
OffRL
474
24
0
27 Jul 2023
Off-Policy Evaluation of Ranking Policies under Diverse User Behavior
Knowledge Discovery and Data Mining (KDD), 2023
Haruka Kiyohara
Masatoshi Uehara
Yusuke Narita
N. Shimizu
Yasuo Yamamoto
Yuta Saito
OffRL
CML
331
13
0
26 Jun 2023
Learning Action Embeddings for Off-Policy Evaluation
European Conference on Information Retrieval (ECIR), 2023
Matej Cief
Jacek Golebiowski
Philipp Schmidt
Ziawasch Abedjan
Artur Bekasov
OffRL
213
7
0
06 May 2023
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation
Yuta Saito
Shunsuke Aihara
Megumi Matsutani
Yusuke Narita
OffRL
734
92
0
17 Aug 2020
Counterfactual Learning of Stochastic Policies with Continuous Actions: from Models to Offline Evaluation
Houssam Zenati
A. Bietti
Matthieu Martin
Eustache Diemert
Pierre Gaillard
Julien Mairal
OffRL
CML
552
5
0
22 Apr 2020
1
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