Unbiased Learning-to-Rank with Biased Feedback

16 August 2016

Papers citing "Unbiased Learning-to-Rank with Biased Feedback"

50 / 159 papers shown

Title
Correcting Exposure Bias for Link Recommendation Shantanu Gupta Hao Wang Zachary Chase Lipton Bernie Wang CML 39 34 0 13 Jun 2021
Federated Unbiased Learning to Rank Chang Li Ouyang Hua FedML 16 2 0 11 May 2021
Causal Learning for Socially Responsible AI Lu Cheng Ahmadreza Mosallanezhad Paras Sheth Huan Liu 85 13 0 25 Apr 2021
Robust Generalization and Safe Query-Specialization in Counterfactual Learning to Rank Harrie Oosterhuis Maarten de Rijke 14 19 0 11 Feb 2021
Causal Collaborative Filtering Shuyuan Xu Yingqiang Ge Yunqi Li Zuohui Fu Xu Chen Yongfeng Zhang CML 32 48 0 03 Feb 2021
Socially Responsible AI Algorithms: Issues, Purposes, and Challenges Lu Cheng Kush R. Varshney Huan Liu FaML 36 145 0 01 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 492 0 31 Dec 2020
Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval Bhaskar Mitra 20 5 0 21 Dec 2020
Causality-Aware Neighborhood Methods for Recommender Systems Masahiro Sato S. Takemori Janmajay Singh Qian Zhang BDL CML 14 7 0 17 Dec 2020
Rebounding Bandits for Modeling Satiation Effects Liu Leqi Fatma Kılınç Karzan Zachary Chase Lipton A. Montgomery 4 25 0 13 Nov 2020
Adversarial Counterfactual Learning and Evaluation for Recommender System Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan OffRL CML 22 33 0 08 Nov 2020
Pretrained Transformers for Text Ranking: BERT and Beyond Jimmy J. Lin Rodrigo Nogueira Andrew Yates VLM 244 612 0 13 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
Learning from eXtreme Bandit Feedback Romain Lopez Inderjit S. Dhillon Michael I. Jordan OffRL 33 25 0 27 Sep 2020
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank Tao Yang Shikai Fang Shibo Li Yulan Wang Qingyao Ai 18 7 0 20 Aug 2020
Computation Offloading in Heterogeneous Vehicular Edge Networks: On-line and Off-policy Bandit Solutions Arash Bozorgchenani S. Maghsudi D. Tarchi Ekram Hossain OffRL 20 59 0 14 Aug 2020
Unbiased Learning for the Causal Effect of Recommendation Masahiro Sato S. Takemori Janmajay Singh Tomoko Ohkuma CML OffRL 17 69 0 11 Aug 2020
Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking Harrie Oosterhuis Maarten de Rijke CML 9 17 0 24 Jul 2020
Deep Learning for Anomaly Detection: A Review Guansong Pang Chunhua Shen LongBing Cao Anton Van Den Hengel 24 899 0 06 Jul 2020
Learning Post-Hoc Causal Explanations for Recommendation Shuyuan Xu Yunqi Li Shuchang Liu Zuohui Fu Xu Chen Yongfeng Zhang CML 24 20 0 30 Jun 2020
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems Preetam Nandy Cyrus DiCiccio Divya Venugopalan Heloise Logan Kinjal Basu N. Karoui FaML 29 30 0 19 Jun 2020
Off-policy Bandits with Deficient Support Noveen Sachdeva Yi-Hsun Su Thorsten Joachims OffRL 38 75 0 16 Jun 2020
Directional Multivariate Ranking Nan Wang Hongning Wang 8 2 0 09 Jun 2020
Controlling Fairness and Bias in Dynamic Learning-to-Rank Marco Morik Ashudeep Singh Jessica Hong Thorsten Joachims 36 206 0 29 May 2020
Accelerated Convergence for Counterfactual Learning to Rank R. Jagerman Maarten de Rijke BDL OffRL 6 13 0 21 May 2020
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction Nan Wang Zhen Qin Xuanhui Wang Hongning Wang CML 37 27 0 18 May 2020
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting Guanhua Zhang Bing Bai Junqi Zhang Kun Bai Conghui Zhu Tiejun Zhao 20 68 0 29 Apr 2020
Unbiased Learning to Rank: Online or Offline? Qingyao Ai Tao Yang Huazheng Wang Jiaxin Mao CML OffRL 36 41 0 28 Apr 2020
AliExpress Learning-To-Rank: Maximizing Online Model Performance without Going Online Guangda Huzhang Zhen-Jia Pang Yongqing Gao Yawen Liu Weijie Shen ... Qing Da Anxiang Zeng Han Yu Yang Yu Zhi-Hua Zhou 22 4 0 25 Mar 2020
Handling Position Bias for Unbiased Learning to Rank in Hotels Search Yinxiao Li CML 12 6 0 28 Feb 2020
Improving Deep Learning For Airbnb Search Malay Haldar Mustafa Abdool Prashant Ramanathan Tyler Sax Lanbo Zhang Aamir Mansawala Shulin Yang B. Turnbull Junshuo Liao 43 39 0 10 Feb 2020
Eliminating Search Intent Bias in Learning to Rank Yingcheng Sun R. Kolacinski K. Loparo CML 9 8 0 08 Feb 2020
Safe Exploration for Optimizing Contextual Bandits R. Jagerman Ilya Markov Maarten de Rijke OffRL 11 18 0 02 Feb 2020
Performance Effectiveness of Multimedia Information Search Using the Epsilon-Greedy Algorithm Nikki Lijing Kuang C. Leung 16 8 0 22 Nov 2019
Policy-Gradient Training of Fair and Unbiased Ranking Functions Himank Yadav Zhengxiao Du Thorsten Joachims 19 42 0 19 Nov 2019
Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking Rama Kumar Pasumarthi Xuanhui Wang Michael Bendersky Marc Najork 27 17 0 21 Oct 2019
Towards Resolving Propensity Contradiction in Offline Recommender Learning Yuta Saito Masahiro Nomura OffRL 41 12 0 16 Oct 2019
Ranking metrics on non-shuffled traffic Alexandre Gilotte 20 0 0 17 Sep 2019
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback Yuta Saito Suguru Yaginuma Yuta Nishino Hayato Sakata Kazuhide Nakata CML 16 262 0 09 Sep 2019
Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback SrinivasaRao SubramanyaRao 19 111 0 08 Sep 2019
Measuring the Business Value of Recommender Systems Dietmar Jannach Michael Jugovac OffRL 14 170 0 22 Aug 2019
Off-policy Learning for Multiple Loggers Li He Long Xia Wei Zeng Zhi-Ming Ma Yue Zhao Dawei Yin OffRL 20 10 0 23 Jul 2019
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets Guanhua Zhang Bing Bai Jian Liang Kun Bai Shiyu Chang Mo Yu Conghui Zhu Tiejun Zhao 23 27 0 15 May 2019
Fairness in Recommendation Ranking through Pairwise Comparisons Alex Beutel Jilin Chen Tulsee Doshi Hai Qian Li Wei ... Lukasz Heldt Zhe Zhao Lichan Hong Ed H. Chi Cristos Goodrow FaML 36 374 0 02 Mar 2019
Policy Learning for Fairness in Ranking Ashudeep Singh Thorsten Joachims OffRL 25 215 0 11 Feb 2019
Position Bias Estimation for Unbiased Learning-to-Rank in eCommerce Search G. Aslanyan U. Porwal CML 4 5 0 21 Dec 2018
Top-K Off-Policy Correction for a REINFORCE Recommender System Minmin Chen Alex Beutel Paul Covington Sagar Jain Francois Belletti Ed H. Chi CML OffRL 33 474 0 06 Dec 2018
CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning Yi-Hsun Su Lequn Wang Michele Santacatterina Mohsen Guizani CML OffRL 20 6 0 06 Nov 2018
Seq2Slate: Re-ranking and Slate Optimization with RNNs Irwan Bello Sayali Kulkarni Sagar Jain Craig Boutilier Ed H. Chi Elad Eban Xiyang Luo Alan Mackey Ofer Meshi 33 92 0 04 Oct 2018
Learning and Anticipating Future Actions During Exploratory Data Analysis Ran Wan Roman Garnett Alvitta Ottley 12 1 0 25 Sep 2018