Recommendations as Treatments: Debiasing Learning and Evaluation

17 February 2016

Papers citing "Recommendations as Treatments: Debiasing Learning and Evaluation"

50 / 108 papers shown

Title
DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward Yi Zhang Ruihong Qiu Xuwei Xu Jiajun Liu Sen Wang OffRL 39 0 0 12 May 2025
Enhancing New-item Fairness in Dynamic Recommender Systems Huizhong Guo Zhu Sun Donghai Hong Tianjun Wei Jinfeng Li Jie Zhang 39 0 0 30 Apr 2025
Truncated Matrix Completion - An Empirical Study Rishhabh Naik Nisarg Trivedi Davoud Ataee Tarzanagh Laura Balzano 50 3 0 14 Apr 2025
Computational Efficient Informative Nonignorable Matrix Completion: A Row- and Column-Wise Matrix U-Statistic Pseudo-Likelihood Approach Yuanhong A Guoyu Zhang Yongcheng Zeng Bo Zhang 40 0 0 05 Apr 2025
Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation Siyu Wang Xiaocong Chen Lina Yao CML OffRL 95 0 0 04 Feb 2025
Exploiting Observation Bias to Improve Matrix Completion Yassir Jedra Sean Mann Charlotte Park Devavrat Shah 40 1 0 03 Jan 2025
Invariant debiasing learning for recommendation via biased imputation Ting Bai Weijie Chen Cheng Yang C. Shi 272 2 0 28 Dec 2024
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation Chengbing Wang Wentao Shi Jizhi Zhang Wenjie Wang Hang Pan Fuli Feng 68 0 0 07 Sep 2024
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems Yi Zhang Ruihong Qiu Jiajun Liu Sen Wang OffRL 26 0 0 18 Jul 2024
Debiased Recommendation with Noisy Feedback Haoxuan Li Chunyuan Zheng Wenjie Wang Hao Wang Fuli Feng Xiao-Hua Zhou 48 7 0 24 Jun 2024
Conformal Counterfactual Inference under Hidden Confounding Zonghao Chen Ruocheng Guo Jean-François Ton Yang Liu CML OffRL 58 2 0 20 May 2024
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective Siyi Lin Chongming Gao Jiawei Chen Sheng Zhou Binbin Hu Yan Feng Chun-Yen Chen Can Wang 33 8 0 18 Apr 2024
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients Zihao Zhao Yi Jing Fuli Feng Jiancan Wu Chongming Gao Xiangnan He 26 9 0 26 Mar 2024
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation Junda Wu Cheng-Chun Chang Tong Yu Zhankui He Jianing Wang Yupeng Hou Julian McAuley LRM RALM 39 20 0 11 Mar 2024
Causal Learning for Trustworthy Recommender Systems: A Survey Jin Li Shoujin Wang Qi Zhang LongBing Cao Fang Chen Xiuzhen Zhang Dietmar Jannach Charu C. Aggarwal CML 39 1 0 13 Feb 2024
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning Huiling Qin Xianyuan Zhan Yuanxun Li Yu Zheng 35 0 0 28 Dec 2023
Exploring Popularity Bias in Session-based Recommendation Haowen Wang 18 0 0 13 Dec 2023
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning S. Giddens F. Liu 38 1 0 19 Sep 2023
Representation Learning in Low-rank Slate-based Recommender Systems Yijia Dai Wen Sun OffRL 30 0 0 10 Sep 2023
Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery Rebecca Salganik Fernando Diaz G. Farnadi 26 4 0 28 Aug 2023
Impression-Aware Recommender Systems F. B. P. Maurera Maurizio Ferrari Dacrema P. Castells Paolo Cremonesi AI4TS 47 2 0 15 Aug 2023
Pareto Invariant Representation Learning for Multimedia Recommendation Shanshan Huang Haoxuan Li Qingsong Li Chunyuan Zheng Li Liu CML 29 12 0 09 Aug 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 46 13 0 06 Jun 2023
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models Leonardo Ranaldi Elena Sofia Ruzzetti Davide Venditti Dario Onorati Fabio Massimo Zanzotto 45 35 0 23 May 2023
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering Jae-woong Lee Seongmin Park Mincheol Yoon Jongwuk Lee 41 7 0 22 May 2023
Exploring and Exploiting Data Heterogeneity in Recommendation Zimu Wang Jiashuo Liu Hao Zou Xingxuan Zhang Yue He Dongxu Liang Peng Cui 44 2 0 21 May 2023
The Role of Relevance in Fair Ranking Aparna Balagopalan Abigail Z. Jacobs Asia J. Biega 38 8 0 09 May 2023
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing Qiang Liu Jun Wu Shu Wu Liang Wang OODD CML 33 11 0 25 Apr 2023
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations Haoxuan Li Yanghao Xiao Chunyuan Zheng Peng Wu CML 34 49 0 17 Apr 2023
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why? Da Xu Bo Yang 30 3 0 09 Apr 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 47 0 0 23 Mar 2023
Mitigating Observation Biases in Crowdsourced Label Aggregation Ryosuke Ueda Koh Takeuchi H. Kashima 21 2 0 25 Feb 2023
Recommender Systems: A Primer P. Castells Dietmar Jannach OffRL 34 5 0 06 Feb 2023
Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers Khalil Damak Sami Khenissi O. Nasraoui BDL 37 7 0 22 Jan 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation Michael Färber Melissa Coutinho Shuzhou Yuan 34 7 0 18 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 55 74 0 11 Jan 2023
Policy learning "without'' overlap: Pessimism and generalized empirical Bernstein's inequality Ying Jin Zhimei Ren Zhuoran Yang Zhaoran Wang OffRL 46 25 0 19 Dec 2022
Differentiating Student Feedbacks for Knowledge Tracing Jiajun Cui Wei Zhang Chanjin Zheng Lu Wang Mo Yu Wei Zhang AI4Ed 39 0 0 16 Dec 2022
Unbiased Knowledge Distillation for Recommendation Gang Chen Jiawei Chen Fuli Feng Sheng Zhou Xiangnan He 37 27 0 27 Nov 2022
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders Xiaohan Li Zheng Liu Luyi Ma Kaushiki Nag Stephen D. Guo Philip Yu Kannan Achan CML 32 6 0 16 Nov 2022
Respecting Transfer Gap in Knowledge Distillation Yulei Niu Long Chen Chan Zhou Hanwang Zhang 31 23 0 23 Oct 2022
Causal Structure Learning with Recommendation System Shuyuan Xu Da Xu Evren Körpeoglu Sushant Kumar Stephen D. Guo Kannan Achan Yongfeng Zhang CML 22 6 0 19 Oct 2022
Causal Inference for De-biasing Motion Estimation from Robotic Observational Data Junhong Xu Kai-Li Yin Jason M. Gregory Lantao Liu CML 23 3 0 17 Oct 2022
Simpson's Paradox in Recommender Fairness: Reconciling differences between per-user and aggregated evaluations Flavien Prost Ben Packer Jilin Chen Li Wei Pierre-Antoine Kremp ... Tulsee Doshi Tonia Osadebe Lukasz Heldt Ed H. Chi Alex Beutel 30 5 0 14 Oct 2022
Equal Experience in Recommender Systems Jaewoong Cho Moonseok Choi Changho Suh FaML 23 1 0 12 Oct 2022
FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training Junyi Chai Reid Pryzant Victor Ye Dong Konstantin Golobokov Chenguang Zhu Yi Liu 42 5 0 06 Oct 2022
Dynamic Causal Collaborative Filtering Shuyuan Xu Juntao Tan Zuohui Fu Jianchao Ji Shelby Heinecke Yongfeng Zhang 29 17 0 23 Aug 2022
Debiased Cross-modal Matching for Content-based Micro-video Background Music Recommendation Jin Yi Zhenzhong Chen 46 1 0 07 Aug 2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems Zihan Wang Na Huang Fei Sun Pengjie Ren Zhumin Chen Hengliang Luo Maarten de Rijke Zhaochun Ren AAML 45 14 0 24 Jun 2022
Infinite Recommendation Networks: A Data-Centric Approach Noveen Sachdeva Mehak Preet Dhaliwal Carole-Jean Wu Julian McAuley DD 50 28 0 03 Jun 2022