Counterfactual Reasoning and Learning Systems

11 September 2012

Papers citing "Counterfactual Reasoning and Learning Systems"

50 / 363 papers shown

Title
Unit Selection with Causal Diagram Ang Li Judea Pearl CML 12 25 0 15 Sep 2021
Uncovering Main Causalities for Long-tailed Information Extraction Guoshun Nan Jiaqi Zeng Rui Qiao Zhijiang Guo Wei Lu CML 54 46 0 11 Sep 2021
Counterfactual Adversarial Learning with Representation Interpolation Wen Wang Wei Ping Ning Shi Jinfeng Li Bingyu Zhu Xiangyu Liu Rongxin Zhang AAML OOD CML 26 2 0 10 Sep 2021
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions Xiaocong Chen L. Yao Julian McAuley Guanglin Zhou Xianzhi Wang AI4TS 28 61 0 08 Sep 2021
Learning Optimal Prescriptive Trees from Observational Data Nathanael Jo S. Aghaei Andrés Gómez P. Vayanos 14 21 0 31 Aug 2021
Bandit Algorithms for Precision Medicine Yangyi Lu Ziping Xu Ambuj Tewari 66 11 0 10 Aug 2021
An Empirical Analysis on Transparent Algorithmic Exploration in Recommender Systems Kihwan Kim 14 0 0 31 Jul 2021
A Causal Bandit Approach to Learning Good Atomic Interventions in Presence of Unobserved Confounders Aurghya Maiti V. Nair Gaurav Sinha CML 12 15 0 06 Jul 2021
A Map of Bandits for E-commerce Yi Liu Lihong Li 11 10 0 01 Jul 2021
Counterfactual Explanations for Arbitrary Regression Models Thomas Spooner Danial Dervovic Jason Long Jon Shepard Jiahao Chen Daniele Magazzeni 24 26 0 29 Jun 2021
Variance-Aware Off-Policy Evaluation with Linear Function Approximation Yifei Min Tianhao Wang Dongruo Zhou Quanquan Gu OffRL 42 38 0 22 Jun 2021
Control Variates for Slate Off-Policy Evaluation N. Vlassis Ashok Chandrashekar Fernando Amat Gil Nathan Kallus OffRL 28 9 0 15 Jun 2021
Robust Generalization despite Distribution Shift via Minimum Discriminating Information Tobias Sutter Andreas Krause Daniel Kuhn OOD 27 10 0 08 Jun 2021
Off-Policy Evaluation via Adaptive Weighting with Data from Contextual Bandits Ruohan Zhan Vitor Hadad David A. Hirshberg Susan Athey OffRL 14 60 0 03 Jun 2021
Invariant Policy Learning: A Causal Perspective Sorawit Saengkyongam Nikolaj Thams J. Peters Niklas Pfister CML OffRL 27 14 0 01 Jun 2021
Stochastic Intervention for Causal Inference via Reinforcement Learning Tri Dung Duong Qian Li Guandong Xu CML 13 3 0 28 May 2021
Stochastic Intervention for Causal Effect Estimation Tri Dung Duong Qian Li Guandong Xu CML 16 7 0 27 May 2021
Be Causal: De-biasing Social Network Confounding in Recommendation Qian Li Xiang-jian Wang Guandong Xu CML 25 55 0 17 May 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
Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling Siyu Gu Xiang-Rong Sheng Ying Fan Guorui Zhou Xiaoqiang Zhu 14 27 0 29 Apr 2021
Learning-based decentralized offloading decision making in an adversarial environment Byungjin Cho Yu Xiao 11 17 0 26 Apr 2021
Benchmarks for Deep Off-Policy Evaluation Justin Fu Mohammad Norouzi Ofir Nachum George Tucker Ziyun Wang ... Yutian Chen Aviral Kumar Cosmin Paduraru Sergey Levine T. Paine ELM OffRL 35 100 0 30 Mar 2021
Contrastive Reasoning in Neural Networks Mohit Prabhushankar Ghassan AlRegib 25 10 0 23 Mar 2021
NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments S. Parbhoo Stefan Bauer Patrick Schwab CML BDL 19 16 0 20 Mar 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 43 297 0 03 Mar 2021
Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation Takeshi Teshima Masashi Sugiyama CML 26 13 0 27 Feb 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 43 318 0 22 Feb 2021
Off-policy Confidence Sequences Nikos Karampatziakis Paul Mineiro Aaditya Ramdas OffRL 23 16 0 18 Feb 2021
Counterfactual Contextual Multi-Armed Bandit: a Real-World Application to Diagnose Apple Diseases Gabriele Sottocornola Fabio Stella Markus Zanker CML 11 2 0 08 Feb 2021
Counterfactual Planning in AGI Systems K. Holtman 14 3 0 29 Jan 2021
High-Confidence Off-Policy (or Counterfactual) Variance Estimation Yash Chandak Shiv Shankar Philip S. Thomas OffRL 11 8 0 25 Jan 2021
Minimax Off-Policy Evaluation for Multi-Armed Bandits Cong Ma Banghua Zhu Jiantao Jiao Martin J. Wainwright OffRL 8 10 0 19 Jan 2021
Model Compression for Domain Adaptation through Causal Effect Estimation Guy Rotman Amir Feder Roi Reichart CML 14 7 0 18 Jan 2021
Analysis of hidden feedback loops in continuous machine learning systems A. Khritankov 26 5 0 14 Jan 2021
Off-Policy Evaluation of Slate Policies under Bayes Risk N. Vlassis Fernando Amat Gil Ashok Chandrashekar OffRL 11 3 0 05 Jan 2021
Causality-Aware Neighborhood Methods for Recommender Systems Masahiro Sato S. Takemori Janmajay Singh Qian Zhang BDL CML 6 7 0 17 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 106 1,386 0 14 Dec 2020
Offline Policy Selection under Uncertainty Mengjiao Yang Bo Dai Ofir Nachum George Tucker Dale Schuurmans OffRL 14 32 0 12 Dec 2020
Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies Jinlin Lai Lixin Zou Jiaxing Song OffRL 8 1 0 29 Nov 2020
Improving Offline Contextual Bandits with Distributional Robustness Otmane Sakhi Louis Faury Flavian Vasile OffRL 15 7 0 13 Nov 2020
Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding E. Gordon Sumegh Roychowdhury Tapomayukh Bhattacharjee Kevin G. Jamieson S. Srinivasa 26 18 0 05 Nov 2020
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks Julia Kreutzer Stefan Riezler Carolin (Haas) Lawrence RALM OffRL 13 15 0 04 Nov 2020
Off-Policy Interval Estimation with Lipschitz Value Iteration Ziyang Tang Yihao Feng Na Zhang Jian Peng Qiang Liu OffRL 9 6 0 29 Oct 2020
CoinDICE: Off-Policy Confidence Interval Estimation Bo Dai Ofir Nachum Yinlam Chow Lihong Li Csaba Szepesvári Dale Schuurmans OffRL 27 84 0 22 Oct 2020
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction Shuxi Zeng Murat Ali Bayir Joel Pfeiffer Denis Xavier Charles Emre Kıcıman TTA 18 18 0 17 Oct 2020
Double Robust Representation Learning for Counterfactual Prediction Shuxi Zeng Serge Assaad Chenyang Tao Shounak Datta Lawrence Carin Fan Li OOD CML 6 6 0 15 Oct 2020
Causal Inference in the Presence of Interference in Sponsored Search Advertising Razieh Nabi Joel Pfeiffer Murat Ali Bayir Denis Xavier Charles Emre Kıcıman CML 28 14 0 15 Oct 2020
The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy Masahiro Kato Shota Yasui K. McAlinn OffRL 21 0 0 08 Oct 2020
User Fairness, Item Fairness, and Diversity for Rankings in Two-Sided Markets Lequn Wang Thorsten Joachims FaML 21 59 0 04 Oct 2020