Counterfactual Reasoning and Learning Systems

11 September 2012

Papers citing "Counterfactual Reasoning and Learning Systems"

50 / 363 papers shown

Title
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects Guanglin Zhou Lina Yao Xiwei Xu Chen Wang Liming Zhu OOD CML BDL 30 2 0 13 Aug 2022
Probabilistic Rank and Reward: A Scalable Model for Slate Recommendation Imad Aouali Achraf Ait Sidi Hammou Otmane Sakhi D. Rohde Flavian Vasile OffRL 16 7 0 10 Aug 2022
Fast Offline Policy Optimization for Large Scale Recommendation Otmane Sakhi D. Rohde Alexandre Gilotte OffRL 47 3 0 08 Aug 2022
Boosted Off-Policy Learning Ben London Levi Lu Ted Sandler Thorsten Joachims OffRL 48 4 0 01 Aug 2022
Efficient Classification with Counterfactual Reasoning and Active Learning A. Mohammed D. Nguyen Bao Duong T. Nguyen CML 30 0 0 25 Jul 2022
A Causal Approach for Business Optimization: Application on an Online Marketplace Naama Parush Ohad Levinkron-Fisch H. Shteingart Amir Bar Sela Amir Zilberman Jake Klein 24 0 0 04 Jul 2022
Promotheus: An End-to-End Machine Learning Framework for Optimizing Markdown in Online Fashion E-commerce Eleanor Loh Jalaj Khandelwal B. Regan Duncan A. Little 14 10 0 03 Jul 2022
Offline Policy Optimization with Eligible Actions Yao Liu Yannis Flet-Berliac Emma Brunskill OffRL 28 5 0 01 Jul 2022
A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists M. Vowels CML 34 2 0 10 Jun 2022
Pessimistic Off-Policy Optimization for Learning to Rank Matej Cief Branislav Kveton Michal Kompan OffRL 24 3 0 06 Jun 2022
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization Min Cheng Xinru Liao Quanlian Liu Bin Ma Jian Xu Bo Zheng CML 32 24 0 02 Jun 2022
In the Eye of the Beholder: Robust Prediction with Causal User Modeling Amir Feder G. Horowitz Yoav Wald Roi Reichart Nir Rosenfeld OOD 21 7 0 01 Jun 2022
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems Lequn Wang Thorsten Joachims 30 22 0 30 May 2022
$Pessimism for Offline Linear Contextual Bandits using $\ell_p$ Confidence Sets$ Pessimism for Offline Linear Contextual Bandits using $\ell_p$ Confidence Sets Gen Li Cong Ma Nathan Srebro OffRL 36 13 0 21 May 2022
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis Xuetong Wu Biwei Huang J. Manton U. Aickelin Jingge Zhu CML 45 2 0 10 May 2022
Optimizing generalized Gini indices for fairness in rankings Virginie Do Nicolas Usunier 15 29 0 02 Apr 2022
Causality Inspired Representation Learning for Domain Generalization Fangrui Lv Jian Liang Shuang Li Bin Zang Chi Harold Liu Ziteng Wang Di Liu CML OOD 43 163 0 27 Mar 2022
Importance Sampling Placement in Off-Policy Temporal-Difference Methods Eric Graves Sina Ghiassian OffRL 29 2 0 18 Mar 2022
Personalized Execution Time Optimization for the Scheduled Jobs Yang Liu Juan Wang Zhengxing Chen Ian Fox Imani Mufti Jason Sukumaran Baokun He Xiling Sun Feng Liang 18 1 0 11 Mar 2022
Interpretable Off-Policy Learning via Hyperbox Search D. Tschernutter Tobias Hatt Stefan Feuerriegel OffRL CML 50 6 0 04 Mar 2022
Towards Robust Off-policy Learning for Runtime Uncertainty Da Xu Yuting Ye Chuanwei Ruan Bo Yang OffRL 25 5 0 27 Feb 2022
Safe Exploration for Efficient Policy Evaluation and Comparison Runzhe Wan Branislav Kveton Rui Song OffRL 36 10 0 26 Feb 2022
A Real-World Implementation of Unbiased Lift-based Bidding System Daisuke Moriwaki Yuta Hayakawa Akira Matsui Yuta Saito Isshu Munemasa Masashi Shibata 11 2 0 23 Feb 2022
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning Nathan Kallus Xiaojie Mao Kaiwen Wang Zhengyuan Zhou OOD OffRL 22 31 0 19 Feb 2022
Online Decision Transformer Qinqing Zheng Amy Zhang Aditya Grover OffRL 27 204 0 11 Feb 2022
Benign-Overfitting in Conditional Average Treatment Effect Prediction with Linear Regression Masahiro Kato Masaaki Imaizumi CML OOD 67 1 0 10 Feb 2022
Variance-Optimal Augmentation Logging for Counterfactual Evaluation in Contextual Bandits Aaron David Tucker Thorsten Joachims OffRL 11 9 0 03 Feb 2022
Evaluating Deep Vs. Wide & Deep Learners As Contextual Bandits For Personalized Email Promo Recommendations A. A. Kocherzhenko Nirmal Sobha Kartha Tengfei Li Hsin-Yi Shih Shih Marco Mandic Mike Fuller Arshak Navruzyan 39 0 0 31 Jan 2022
A Systematic Study of Bias Amplification Melissa Hall Laurens van der Maaten Laura Gustafson Maxwell Jones Aaron B. Adcock 104 71 0 27 Jan 2022
Unicorn: Reasoning about Configurable System Performance through the lens of Causality Md Shahriar Iqbal R. Krishna Mohammad Ali Javidian Baishakhi Ray Pooyan Jamshidi LRM 26 29 0 20 Jan 2022
DRTCI: Learning Disentangled Representations for Temporal Causal Inference Garima Gupta L. Vig Gautam M. Shroff BDL OOD CML 22 0 0 20 Jan 2022
BITES: Balanced Individual Treatment Effect for Survival data Stefan Schrod Andreas Schäfer S. Solbrig R. Lohmayer W. Gronwald P. Oefner T. Beissbarth Rainer Spang H. Zacharias Michael Altenbuchinger CML 17 23 0 05 Jan 2022
Deep Treatment-Adaptive Network for Causal Inference Qian Li Zhichao Wang Shaowu Liu Gang Li Guandong Xu CML BDL OOD 30 10 0 27 Dec 2021
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching Sutanoy Dasgupta Yabo Niu Kishan Panaganti D. Kalathil D. Pati Bani Mallick OffRL 31 0 0 18 Dec 2021
Prescriptive Machine Learning for Automated Decision Making: Challenges and Opportunities Eyke Hüllermeier 26 5 0 15 Dec 2021
A Validation Tool for Designing Reinforcement Learning Environments Ruiyang Xu Zhengxing Chen OffRL 18 0 0 10 Dec 2021
Generalizing Off-Policy Learning under Sample Selection Bias Tobias Hatt D. Tschernutter Stefan Feuerriegel OffRL 30 18 0 02 Dec 2021
Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis Zixuan Yuan Yada Zhu Wei Zhang Ziming Huang Guangnan Ye Hui Xiong 8 2 0 02 Dec 2021
Learning Long-Term Reward Redistribution via Randomized Return Decomposition Zhizhou Ren Ruihan Guo Yuanshuo Zhou Jian-wei Peng 29 36 0 26 Nov 2021
Scalable Intervention Target Estimation in Linear Models Burak Varici Karthikeyan Shanmugam P. Sattigeri A. Tajer CML 25 9 0 15 Nov 2021
Universal Lower Bound for Learning Causal DAGs with Atomic Interventions Vibhor Porwal P. Srivastava Gaurav Sinha CML 48 2 0 09 Nov 2021
Identifying Best Fair Intervention Ruijiang Gao Han Feng FaML 6 0 0 08 Nov 2021
SOPE: Spectrum of Off-Policy Estimators C. J. Yuan Yash Chandak S. Giguere Philip S. Thomas S. Niekum OffRL 55 5 0 06 Nov 2021
Cycle-Balanced Representation Learning For Counterfactual Inference Guanglin Zhou L. Yao Xiwei Xu Chen Wang Liming Zhu CML OOD 14 12 0 29 Oct 2021
Sayer: Using Implicit Feedback to Optimize System Policies Mathias Lécuyer Sang Hoon Kim Mihir Nanavati Junchen Jiang S. Sen Amit Sharma Aleksandrs Slivkins OffRL 52 1 0 28 Oct 2021
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game Yuzi He Christopher Tran Julie Jiang Keith Burghardt Emilio Ferrara Elena Zheleva Kristina Lerman 27 10 0 27 Oct 2021
Latent reweighting, an almost free improvement for GANs Thibaut Issenhuth Ugo Tanielian David Picard Jérémie Mary 14 5 0 19 Oct 2021
Offline RL With Resource Constrained Online Deployment Jayanth Reddy Regatti A. Deshmukh Frank Cheng Young Hun Jung Abhishek Gupta Ürün Dogan OffRL 13 2 0 07 Oct 2021
Causal Inference in Network Economics Sridhar Mahadevan CML 32 6 0 20 Sep 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning Tianhe Yu Aviral Kumar Yevgen Chebotar Karol Hausman Sergey Levine Chelsea Finn OffRL 35 77 0 16 Sep 2021