Policy Evaluation and Optimization with Continuous Treatments

16 February 2018

Papers citing "Policy Evaluation and Optimization with Continuous Treatments"

50 / 79 papers shown

Title
Contextual Online Uncertainty-Aware Preference Learning for Human Feedback Nan Lu Ethan X. Fang Junwei Lu 251 0 0 27 Apr 2025
Prompt Optimization with Logged Bandit Data Haruka Kiyohara Daniel Yiming Cao Yuta Saito Thorsten Joachims 86 0 0 03 Apr 2025
Off-policy estimation with adaptively collected data: the power of online learning Jeonghwan Lee Cong Ma OffRL 81 0 0 19 Nov 2024
Uncertainty-Aware Optimal Treatment Selection for Clinical Time Series Thomas Schwarz Cecilia Casolo Niki Kilbertus CML 46 0 0 11 Oct 2024
Probabilities of Causation for Continuous and Vector Variables Yuta Kawakami Manabu Kuroki Jin Tian 48 4 0 30 May 2024
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies Haanvid Lee Tri Wahyu Guntara Jongmin Lee Yung-Kyun Noh Kee-Eung Kim OffRL 37 1 0 29 May 2024
A Causal Framework for Evaluating Deferring Systems Filippo Palomba Andrea Pugnana Jose M. Alvarez Salvatore Ruggieri CML 59 3 0 29 May 2024
Contextual Linear Optimization with Bandit Feedback Yichun Hu Nathan Kallus Xiaojie Mao Yanchen Wu 42 0 0 26 May 2024
Cross-Validated Off-Policy Evaluation Matej Cief Branislav Kveton Michal Kompan OffRL 33 1 0 24 May 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning Otmane Sakhi Imad Aouali Pierre Alquier Nicolas Chopin OffRL 50 1 0 23 May 2024
Multi-Objective Recommendation via Multivariate Policy Learning Olivier Jeunen Jatin Mandav Ivan Potapov Nakul Agarwal Sourabh Vaid Wenzhe Shi Aleksei Ustimenko OffRL 21 3 0 03 May 2024
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation Haruka Kiyohara Ren Kishimoto K. Kawakami Ken Kobayashi Kazuhide Nakata Yuta Saito OffRL 34 9 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 42 4 0 30 Nov 2023
Off-Policy Evaluation for Large Action Spaces via Policy Convolution Noveen Sachdeva Lequn Wang Dawen Liang Nathan Kallus Julian McAuley OffRL 43 12 0 24 Oct 2023
Optimal Exploration is no harder than Thompson Sampling Zhaoqi Li Kevin Jamieson Lalit P. Jain 32 2 0 09 Oct 2023
Doubly Robust Proximal Causal Learning for Continuous Treatments Yong Wu Yanwei Fu Shouyan Wang Xinwei Sun 28 1 0 22 Sep 2023
On the Actionability of Outcome Prediction Lydia T. Liu Solon Barocas Jon Kleinberg Karen Levy OffRL CML 13 7 0 08 Sep 2023
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments Zach Branson Edward H. Kennedy Sivaraman Balakrishnan Larry Wasserman CML 46 4 0 01 Sep 2023
Oracle-Efficient Pessimism: Offline Policy Optimization in Contextual Bandits Lequn Wang A. Krishnamurthy Aleksandrs Slivkins OffRL 46 9 0 13 Jun 2023
Reliable Off-Policy Learning for Dosage Combinations Jonas Schweisthal Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel OffRL 31 12 0 31 May 2023
Learning Action Embeddings for Off-Policy Evaluation Matej Cief Jacek Golebiowski Philipp Schmidt Ziawasch Abedjan Artur Bekasov OffRL 8 5 0 06 May 2023
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 30 6 0 15 Mar 2023
Balanced Off-Policy Evaluation for Personalized Pricing Adam N. Elmachtoub Vishal Gupta Yunfan Zhao OffRL 42 6 0 24 Feb 2023
Personalized Pricing with Invalid Instrumental Variables: Identification, Estimation, and Policy Learning Rui Miao Zhengling Qi Cong Shi Lin Lin 21 2 0 24 Feb 2023
Sequential Counterfactual Risk Minimization Houssam Zenati Eustache Diemert Matthieu Martin Julien Mairal Pierre Gaillard OffRL 29 3 0 23 Feb 2023
STEEL: Singularity-aware Reinforcement Learning Xiaohong Chen Zhengling Qi Runzhe Wan OffRL 35 2 0 30 Jan 2023
Causal Deep Reinforcement Learning Using Observational Data Wenxuan Zhu Chao Yu Qiaosheng Zhang CML OffRL 26 5 0 28 Nov 2022
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions Haanvid Lee Jongmin Lee Yunseon Choi Wonseok Jeon Byung-Jun Lee Yung-Kyun Noh Kee-Eung Kim OffRL 14 5 0 24 Oct 2022
PAC-Bayesian Offline Contextual Bandits With Guarantees Otmane Sakhi Pierre Alquier Nicolas Chopin OffRL 34 12 0 24 Oct 2022
Improving Sample Efficiency in Evolutionary RL Using Off-Policy Ranking R. EshwarS Shishir Kolathaya Gugan Thoppe 24 0 0 22 Aug 2022
Conformal Off-policy Prediction Yingying Zhang C. Shi Shuang Luo OffRL 41 10 0 14 Jun 2022
Off-Policy Evaluation in Embedded Spaces Jaron J. R. Lee David Arbour Georgios Theocharous OffRL 25 3 0 05 Mar 2022
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons C. Shi Shuang Luo Yuan Le Hongtu Zhu R. Song OffRL OnRL 37 10 0 26 Feb 2022
Off-Policy Evaluation with Policy-Dependent Optimization Response Wenshuo Guo Michael I. Jordan Angela Zhou CML OffRL 34 3 0 25 Feb 2022
Policy Learning for Optimal Individualized Dose Intervals Guanhua Chen Xiaomao Li Menggang Yu 13 4 0 24 Feb 2022
Convex Surrogate Loss Functions for Contextual Pricing with Transaction Data Max Biggs OffRL 23 1 0 16 Feb 2022
Off-Policy Evaluation for Large Action Spaces via Embeddings Yuta Saito Thorsten Joachims OffRL 33 43 0 13 Feb 2022
A nonparametric doubly robust test for a continuous treatment effect Charles R. Doss Guangwei Weng Lan Wang I. Moscovice T. Chantarat 21 2 0 07 Feb 2022
Interpretable Personalized Experimentation Han Wu S. Tan Weiwei Li Mia Garrard Adam Obeng Drew Dimmery Shaun Singh Hanson Wang Daniel R. Jiang E. Bakshy 33 5 0 05 Nov 2021
Doubly Robust Interval Estimation for Optimal Policy Evaluation in Online Learning Ye Shen Hengrui Cai Rui Song OffRL 40 2 0 29 Oct 2021
Invariant Policy Learning: A Causal Perspective Sorawit Saengkyongam Nikolaj Thams J. Peters Niklas Pfister CML OffRL 27 14 0 01 Jun 2021
Multiply Robust Causal Mediation Analysis with Continuous Treatments Numair Sani Yizhe Xu AmirEmad Ghassami I. Shpitser 14 7 0 19 May 2021
Automatic Double Machine Learning for Continuous Treatment Effects Sylvia Klosin 44 8 0 21 Apr 2021
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference AmirEmad Ghassami Andrew Ying I. Shpitser E. T. Tchetgen 32 43 0 07 Apr 2021
Causal World Models by Unsupervised Deconfounding of Physical Dynamics Minne Li Mengyue Yang Furui Liu Xu Chen Zhitang Chen Jun Wang SyDa CML 33 12 0 28 Dec 2020
Fairness, Welfare, and Equity in Personalized Pricing Nathan Kallus Angela Zhou 24 39 0 21 Dec 2020
Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks Minshuo Chen Hao Liu Wenjing Liao T. Zhao CML OOD OffRL 20 7 0 03 Nov 2020
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings Hengrui Cai C. Shi R. Song Wenbin Lu OffRL 12 13 0 29 Oct 2020
Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves Rahul Singh Liyuan Xu Arthur Gretton OffRL 68 28 0 10 Oct 2020
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation Yuta Saito Shunsuke Aihara Megumi Matsutani Yusuke Narita OffRL 24 73 0 17 Aug 2020