Balanced Policy Evaluation and Learning

21 May 2017

Papers citing "Balanced Policy Evaluation and Learning"

50 / 90 papers shown

Title
Treatment Effect Estimation for Optimal Decision-Making Dennis Frauen Valentyn Melnychuk Jonas Schweisthal Mihaela van der Schaar Stefan Feuerriegel CML 21 0 0 19 May 2025
Robust Offline Policy Learning with Observational Data from Multiple Sources Aldo G. Carranza Susan Athey OffRL 29 2 0 11 Oct 2024
Policy Prototyping for LLMs: Pluralistic Alignment via Interactive and Collaborative Policymaking K. J. Kevin Feng Inyoung Cheong Quan Ze Chen Amy X. Zhang 49 3 0 13 Sep 2024
Balancing Immediate Revenue and Future Off-Policy Evaluation in Coupon Allocation Naoki Nishimura Ken Kobayashi Kazuhide Nakata OffRL 30 0 0 06 Jul 2024
Contextual Linear Optimization with Bandit Feedback Yichun Hu Nathan Kallus Xiaojie Mao Yanchen Wu 42 0 0 26 May 2024
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules Michael Lingzhi Li Kosuke Imai CML 36 0 0 25 Apr 2024
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects Yingrong Wang Anpeng Wu Haoxuan Li Weiming Liu Qiaowei Miao Ruoxuan Xiong Fei Wu Kun Kuang 50 0 0 05 Mar 2024
Individualized Policy Evaluation and Learning under Clustered Network Interference Yi Zhang Kosuke Imai OffRL 42 1 0 04 Nov 2023
Confounding-Robust Policy Improvement with Human-AI Teams Ruijiang Gao Mingzhang Yin 37 3 0 13 Oct 2023
A Convex Framework for Confounding Robust Inference Kei Ishikawa Naio He Takafumi Kanamori OffRL 30 0 0 21 Sep 2023
Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam War Zeyang Jia Eli Ben-Michael Kosuke Imai 39 4 0 17 Jul 2023
Oracle-Efficient Pessimism: Offline Policy Optimization in Contextual Bandits Lequn Wang A. Krishnamurthy Aleksandrs Slivkins OffRL 46 9 0 13 Jun 2023
Causal Fairness for Outcome Control Drago Plečko Elias Bareinboim 35 5 0 08 Jun 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning K. Kim J. Zubizarreta 44 7 0 06 Jun 2023
Reliable Off-Policy Learning for Dosage Combinations Jonas Schweisthal Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel OffRL 31 12 0 31 May 2023
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 30 6 0 15 Mar 2023
Kernel Conditional Moment Constraints for Confounding Robust Inference Kei Ishikawa Niao He OffRL 35 3 0 26 Feb 2023
Balanced Off-Policy Evaluation for Personalized Pricing Adam N. Elmachtoub Vishal Gupta Yunfan Zhao OffRL 42 6 0 24 Feb 2023
Learning Complementary Policies for Human-AI Teams Ruijiang Gao M. Saar-Tsechansky Maria De-Arteaga Ligong Han Wei-Ju Sun Min Kyung Lee Matthew Lease 46 8 0 06 Feb 2023
Off-Policy Evaluation with Out-of-Sample Guarantees Sofia Ek Dave Zachariah Fredrik D. Johansson Petre Stoica CML OffRL 23 4 0 20 Jan 2023
Kernel-based off-policy estimation without overlap: Instance optimality beyond semiparametric efficiency Wenlong Mou Peng Ding Martin J. Wainwright Peter L. Bartlett OffRL 40 10 0 16 Jan 2023
Policy learning "without'' overlap: Pessimism and generalized empirical Bernstein's inequality Ying Jin Zhimei Ren Zhuoran Yang Zhaoran Wang OffRL 40 25 0 19 Dec 2022
Counterfactual Learning with Multioutput Deep Kernels A. Caron G. Baio I. Manolopoulou BDL CML OffRL 25 1 0 20 Nov 2022
Semi-supervised Batch Learning From Logged Data Gholamali Aminian Armin Behnamnia R. Vega Laura Toni Chengchun Shi Hamid R. Rabiee Omar Rivasplata Miguel R. D. Rodrigues OffRL 31 0 0 15 Sep 2022
Inference on Strongly Identified Functionals of Weakly Identified Functions Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 40 15 0 17 Aug 2022
Policy Learning with Asymmetric Counterfactual Utilities Eli Ben-Michael Kosuke Imai Zhichao Jiang OffRL 36 16 0 21 Jun 2022
Pessimistic Off-Policy Optimization for Learning to Rank Matej Cief Branislav Kveton Michal Kompan OffRL 24 3 0 06 Jun 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems Lequn Wang Thorsten Joachims 30 22 0 30 May 2022
Interpretable Off-Policy Learning via Hyperbox Search D. Tschernutter Tobias Hatt Stefan Feuerriegel OffRL CML 50 6 0 04 Mar 2022
Treatment Effect Risk: Bounds and Inference Nathan Kallus CML 13 15 0 15 Jan 2022
Generalizing Off-Policy Learning under Sample Selection Bias Tobias Hatt D. Tschernutter Stefan Feuerriegel OffRL 30 18 0 02 Dec 2021
Loss Functions for Discrete Contextual Pricing with Observational Data Max Biggs Ruijiang Gao Wei-Ju Sun 36 10 0 18 Nov 2021
Optimal Decision Rules Under Partial Identification Kohei Yata 41 19 0 09 Nov 2021
Finding the Optimal Dynamic Treatment Regime Using Smooth Fisher Consistent Surrogate Loss Nilanjana Laha Aaron Sonabend-W Rajarshi Mukherjee Tianxi Cai 22 1 0 03 Nov 2021
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment Eli Ben-Michael D. J. Greiner Kosuke Imai Zhichao Jiang OffRL 33 22 0 22 Sep 2021
Learning Optimal Prescriptive Trees from Observational Data Nathanael Jo S. Aghaei Andrés Gómez P. Vayanos 21 21 0 31 Aug 2021
Invariant Policy Learning: A Causal Perspective Sorawit Saengkyongam Nikolaj Thams J. Peters Niklas Pfister CML OffRL 27 14 0 01 Jun 2021
Post-Contextual-Bandit Inference Aurélien F. Bibaut Antoine Chambaz Maria Dimakopoulou Nathan Kallus Mark van der Laan 24 39 0 01 Jun 2021
Policy Learning with Adaptively Collected Data Ruohan Zhan Zhimei Ren Susan Athey Zhengyuan Zhou OffRL 45 27 0 05 May 2021
Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population Rui Chen J. Huling Guanhua Chen Menggang Yu CML 8 1 0 03 May 2021
Deconfounding Scores: Feature Representations for Causal Effect Estimation with Weak Overlap Alexander DÁmour Alexander M. Franks CML 16 10 0 12 Apr 2021
Estimating Average Treatment Effects via Orthogonal Regularization Tobias Hatt Stefan Feuerriegel CML 164 35 0 21 Jan 2021
The Causal Learning of Retail Delinquency Yiyan Huang Cheuk Hang Leung Xing Yan Qi Wu Nanbo Peng DongDong Wang Zhixiang Huang CML 22 8 0 17 Dec 2020
Robust Batch Policy Learning in Markov Decision Processes Zhengling Qi Peng Liao OffRL 14 4 0 09 Nov 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
Optimal Policies for the Homogeneous Selective Labels Problem Dennis L. Wei OffRL 9 2 0 02 Nov 2020
Efficient Balanced Treatment Assignments for Experimentation David Arbour Drew Dimmery Anup B. Rao 12 7 0 21 Oct 2020
Optimal Off-Policy Evaluation from Multiple Logging Policies Nathan Kallus Yuta Saito Masatoshi Uehara OffRL 14 40 0 21 Oct 2020
Double Robust Representation Learning for Counterfactual Prediction Shuxi Zeng Serge Assaad Chenyang Tao Shounak Datta Lawrence Carin Fan Li OOD CML 11 6 0 15 Oct 2020
Instrumental Variable Regression via Kernel Maximum Moment Loss Rui Zhang Masaaki Imaizumi Bernhard Schölkopf Krikamol Muandet 14 7 0 15 Oct 2020