Counterfactual Reasoning and Learning Systems

11 September 2012

Papers citing "Counterfactual Reasoning and Learning Systems"

50 / 363 papers shown

Title
Importance-Weighted Offline Learning Done Right Germano Gabbianelli Gergely Neu Matteo Papini OffRL 21 5 0 27 Sep 2023
Ad-load Balancing via Off-policy Learning in a Content Marketplace Hitesh Sagtani M. Jhawar Rishabh Mehrotra Olivier Jeunen OffRL 28 6 0 19 Sep 2023
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits Yi Shen Pan Xu Michael M. Zavlanos OffRL 41 5 0 15 Sep 2023
Setting the Right Expectations: Algorithmic Recourse Over Time Joao Fonseca Andrew Bell Carlo Abrate Francesco Bonchi Julia Stoyanovich 32 7 0 13 Sep 2023
Offline Recommender System Evaluation under Unobserved Confounding Olivier Jeunen Ben London OffRL 27 4 0 08 Sep 2023
Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation Jan Malte Lichtenberg Alexander K. Buchholz Giuseppe Di Benedetto M. Ruffini Ben London OffRL 29 2 0 03 Sep 2023
Inducing Causal Structure for Abstractive Text Summarization Luyao Chen Ruqing Zhang Wei Huang Wei Chen Jiafeng Guo Xueqi Cheng CML 23 1 0 24 Aug 2023
Fast Slate Policy Optimization: Going Beyond Plackett-Luce Otmane Sakhi D. Rohde Nicolas Chopin OffRL 37 3 0 03 Aug 2023
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient Yudong Luo Guiliang Liu Pascal Poupart Yangchen Pan 43 10 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
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints Donghao Li Ruiquan Huang Cong Shen Jing Yang 39 3 0 09 Jun 2023
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao Jingyue Gao Shuguang Han Ziru Xu Siran Yang Yuning Jiang Jian Xu Bo Zheng 43 11 0 06 Jun 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 34 11 0 02 Jun 2023
Exponential Smoothing for Off-Policy Learning Imad Aouali Victor-Emmanuel Brunel D. Rohde Anna Korba OffRL 30 11 0 25 May 2023
Off-policy evaluation beyond overlap: partial identification through smoothness Samir Khan Martin Saveski J. Ugander OffRL 46 5 0 19 May 2023
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers Tomoharu Iwata Yoichi Chikahara CML FedML 39 0 0 19 May 2023
Learning Good Interventions in Causal Graphs via Covering Ayush Sawarni Rahul Madhavan Gaurav Sinha Siddharth Barman CML 13 4 0 08 May 2023
CAM2: Conformity-Aware Multi-Task Ranking Model for Large-Scale Recommender Systems Ameya Raul Amey Porobo Dharwadker Brad Schumitsch CML 8 3 0 17 Apr 2023
SmartChoices: Augmenting Software with Learned Implementations Daniel Golovin Gábor Bartók Eric Chen Emily A. Donahue Tzu-Kuo Huang Efi Kokiopoulou Ruoyan Qin Nikhil Sarda Justin Sybrandt Vincent Tjeng OffRL 15 1 0 12 Apr 2023
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why? Da Xu Bo Yang 30 3 0 09 Apr 2023
Conformal Off-Policy Evaluation in Markov Decision Processes Daniele Foffano Alessio Russo Alexandre Proutiere OffRL 22 7 0 05 Apr 2023
Practical Policy Optimization with Personalized Experimentation Mia Garrard Hanson Wang Benjamin Letham Shaun Singh Abbas Kazerouni ... Yin Huang Yichun Hu Chad Zhou Norm Zhou E. Bakshy 21 0 0 30 Mar 2023
A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations Siyu Chen Yitan Wang Zhaoran Wang Zhuoran Yang OffRL 38 2 0 20 Mar 2023
Balanced Off-Policy Evaluation for Personalized Pricing Adam N. Elmachtoub Vishal Gupta Yunfan Zhao OffRL 42 6 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
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments Vincent Liu Yash Chandak Philip S. Thomas Martha White OffRL 24 0 0 23 Feb 2023
Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness under Unawareness setting Giandomenico Cornacchia Vito Walter Anelli Fedelucio Narducci Azzurra Ragone E. Sciascio MLAU FaML 32 1 0 16 Feb 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR Kaiwen Wang Nathan Kallus Wen Sun 112 18 0 07 Feb 2023
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking Shanlei Mu Penghui Wei Wayne Xin Zhao Shaoguo Liu Liangji Wang Bo Zheng 33 4 0 06 Feb 2023
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization Zichuan Lin Xiapeng Wu Mingfei Sun Deheng Ye Qiang Fu Wei Yang Wei Liu 33 3 0 05 Feb 2023
Directed Acyclic Graphs With Tears Zhichao Chen Zhiqiang Ge CML 33 5 0 04 Feb 2023
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits Subhojyoti Mukherjee Qiaomin Xie Josiah P. Hanna R. Nowak OffRL 58 5 0 29 Jan 2023
Local Policy Improvement for Recommender Systems Dawen Liang N. Vlassis OffRL 21 3 0 22 Dec 2022
Policy learning "without'' overlap: Pessimism and generalized empirical Bernstein's inequality Ying Jin Zhimei Ren Zhuoran Yang Zhaoran Wang OffRL 38 25 0 19 Dec 2022
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence Jian Guo Saizhuo Wang L. Ni H. Shum AIFin 26 8 0 13 Dec 2022
Instrumental Variables in Causal Inference and Machine Learning: A Survey Anpeng Wu Kun Kuang Ruoxuan Xiong Fei Wu SyDa CML 32 6 0 12 Dec 2022
Multi-Task Off-Policy Learning from Bandit Feedback Joey Hong Branislav Kveton S. Katariya Manzil Zaheer Mohammad Ghavamzadeh OffRL 34 10 0 09 Dec 2022
Robust Direct Learning for Causal Data Fusion Xinyu Li Yilin Li Daixin Wang Longfei Li Jun Zhou CML 33 1 0 01 Nov 2022
PAC-Bayesian Offline Contextual Bandits With Guarantees Otmane Sakhi Pierre Alquier Nicolas Chopin OffRL 34 12 0 24 Oct 2022
Causal Structure Learning with Recommendation System Shuyuan Xu Da Xu Evren Körpeoglu Sushant Kumar Stephen D. Guo Kannan Achan Yongfeng Zhang CML 16 6 0 19 Oct 2022
Unit Selection: Learning Benefit Function from Finite Population Data Ang Li Song Jiang Yizhou Sun Judea Pearl 43 7 0 15 Oct 2022
Unit Selection: Case Study and Comparison with A/B Test Heuristic Ang Li Judea Pearl 37 6 0 10 Oct 2022
Neural Causal Models for Counterfactual Identification and Estimation K. Xia Yushu Pan Elias Bareinboim CML 50 32 0 30 Sep 2022
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation Imad Aouali Amine Benhalloum Martin Bompaire Benjamin Heymann Olivier Jeunen D. Rohde Otmane Sakhi Flavian Vasile OffRL 11 2 0 18 Sep 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
Fast online ranking with fairness of exposure Nicolas Usunier Virginie Do Elvis Dohmatob 37 18 0 13 Sep 2022
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models Rohan Anil S. Gadanho Danya Huang Nijith Jacob Zhuoshu Li ... Cristina Pop Kevin Regan G. Shamir Rakesh Shivanna Qiqi Yan 3DV 29 41 0 12 Sep 2022
Unit Selection with Nonbinary Treatment and Effect Ang Li Judea Pearl 39 14 0 20 Aug 2022
The Counterfactual-Shapley Value: Attributing Change in System Metrics Amit Sharma Hua Li Jian Jiao 32 2 0 17 Aug 2022
Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables Ehsan Mokhtarian M. Khorasani Jalal Etesami Negar Kiyavash CML 17 7 0 14 Aug 2022