AutoDebias: Learning to Debias for Recommendation

10 May 2021

Papers citing "AutoDebias: Learning to Debias for Recommendation"

50 / 53 papers shown

Title
On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective Donald Loveland Mingxuan Ju Tong Zhao Neil Shah Danai Koutra 12 0 0 16 May 2025
Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias Miaomiao Cai Lei Chen Yifan Wang Zhiyong Cheng M. Zhang Meng Wang 46 0 0 30 Mar 2025
Rankformer: A Graph Transformer for Recommendation based on Ranking Objective Sirui Chen Shen Han Jiawei Chen Binbin Hu Sheng Zhou Gang Wang Yan Feng Chong Chen C. Wang OffRL 48 0 0 21 Mar 2025
Variational Bayesian Personalized Ranking Bin Liu Xiaohong Liu Q. Luo Ziqiao Shang Jielei Chu Lin Ma Zhaoyu Li Fei Teng Guangtao Zhai Tianrui Li 50 0 0 14 Mar 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 89 2 0 20 Feb 2025
A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems Hamid Eghbalzadeh Yang Wang Rui Li Yuji Mo Qin Ding ... Shuo Gu Nima Noorshams Sem Park Bo Long Xue Feng 77 0 0 05 Feb 2025
Invariant debiasing learning for recommendation via biased imputation Ting Bai Weijie Chen Cheng Yang C. Shi 239 2 0 28 Dec 2024
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation Weiqin Yang Jiawei Chen Xin Xin Sheng Zhou Binbin Hu Yan Feng Chong Chen Can Wang 57 2 0 31 Oct 2024
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation Chengbing Wang Wentao Shi Jizhi Zhang Wenjie Wang Hang Pan Fuli Feng 56 0 0 07 Sep 2024
A Strategy to Combine 1stGen Transformers and Open LLMs for Automatic Text Classification Claudio Andrade Washington Cunha Davi Reis Adriana S. Pagano Leonardo Rocha Marcos André Gonçalves 37 3 0 19 Aug 2024
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation Hao Wang Zhichao Chen Yuan Shen Jiajun Fan Zhaoran Liu Degui Yang Xinggao Liu Haoxuan Li 45 0 0 01 Jul 2024
Debiased Recommendation with Noisy Feedback Haoxuan Li Chunyuan Zheng Wenjie Wang Hao Wang Fuli Feng Xiao-Hua Zhou 43 7 0 24 Jun 2024
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random Mingming Ha Xuewen Tao Wenfang Lin Qionxu Ma Wujiang Xu Lin Chen 28 1 0 24 May 2024
Conformal Counterfactual Inference under Hidden Confounding Zonghao Chen Ruocheng Guo Jean-François Ton Yang Liu CML OffRL 53 2 0 20 May 2024
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference Haoxuan Li Chunyuan Zheng Sihao Ding Peng Wu Zhi Geng Fuli Feng Xiangnan He CML 45 9 0 30 Apr 2024
Debiased Collaborative Filtering with Kernel-Based Causal Balancing Haoxuan Li Chunyuan Zheng Yanghao Xiao Peng Wu Zhi Geng Xu Chen Peng Cui CML 46 17 0 30 Apr 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 31 8 0 18 Apr 2024
Large Language Models meet Collaborative Filtering: An Efficient All-round LLM-based Recommender System Sein Kim Hongseok Kang Seungyoon Choi Donghyun Kim Minchul Yang Chanyoung Park KELM 52 21 0 17 Apr 2024
Graph Augmentation for Recommendation Qianru Zhang Lianghao Xia Xuheng Cai Siu-keung Yiu Chao Huang Christian S. Jensen 31 5 0 25 Mar 2024
Causal Disentanglement for Regulating Social Influence Bias in Social Recommendation Li Wang Min Xu Quangui Zhang Yunxiao Shi Qiang Wu CML 31 3 0 06 Mar 2024
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random Wonbin Kweon Hwanjo Yu 42 13 0 26 Feb 2024
EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems Yuanqing Yu Chongming Gao Jiawei Chen Heng Tang Yuefeng Sun Qian Chen Weizhi Ma Min Zhang OffRL 45 2 0 23 Feb 2024
BSL: Understanding and Improving Softmax Loss for Recommendation Junkang Wu Jiawei Chen Jiancan Wu Wentao Shi Jizhi Zhang Xiang Wang 16 5 0 20 Dec 2023
Optimal Transport for Treatment Effect Estimation Hao Wang Zhichao Chen Jiajun Fan Haoxuan Li Tianqiao Liu Weiming Liu Quanyu Dai Yichao Wang Zhenhua Dong Ruiming Tang OT CML 30 35 0 27 Oct 2023
Robust Collaborative Filtering to Popularity Distribution Shift An Zhang Wenchang Ma Jingnan Zheng Xiang Wang Tat-Seng Chua 29 20 0 16 Oct 2023
Epsilon non-Greedy: A Bandit Approach for Unbiased Recommendation via Uniform Data S.M.F. Sani Seyed Abbas Hosseini Hamid R. Rabiee OffRL 27 1 0 07 Oct 2023
Deep Generative Imputation Model for Missing Not At Random Data Jia-Lve Chen Yuanbo Xu Pengyang Wang Yongjian Yang SyDa 27 8 0 16 Aug 2023
CDR: Conservative Doubly Robust Learning for Debiased Recommendation Zijie Song Jiawei Chen Sheng Zhou Qihao Shi Yan Feng Chun-Yen Chen C. Wang 33 17 0 13 Aug 2023
Pareto Invariant Representation Learning for Multimedia Recommendation Shanshan Huang Haoxuan Li Qingsong Li Chunyuan Zheng Li Liu CML 27 11 0 09 Aug 2023
Exploring and Exploiting Data Heterogeneity in Recommendation Zimu Wang Jiashuo Liu Hao Zou Xingxuan Zhang Yue He Dongxu Liang Peng Cui 41 2 0 21 May 2023
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations Haoxuan Li Yanghao Xiao Chunyuan Zheng Peng Wu CML 29 48 0 17 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
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation Michael Färber Melissa Coutinho Shuzhou Yuan 32 7 0 18 Jan 2023
Unbiased Knowledge Distillation for Recommendation Gang Chen Jiawei Chen Fuli Feng Sheng Zhou Xiangnan He 32 27 0 27 Nov 2022
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction Quanyu Dai Haoxuan Li Peng Wu Zhenhua Dong Xiao-Hua Zhou Rui Zhang Rui zhang Jie Sun 37 50 0 12 Nov 2022
Efficient Bi-Level Optimization for Recommendation Denoising Zongwei Wang Min Gao Wentao Li Junliang Yu Linxin Guo Hongzhi Yin 24 27 0 19 Oct 2022
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation Chenxu Wang Fuli Feng Yang Zhang Qifan Wang Xu Hu Xiangnan He 52 8 0 22 Sep 2022
A Survey of Deep Causal Models and Their Industrial Applications Zongyu Li Xiaoning Guo Siwei Qiang CML AI4CE 40 7 0 19 Sep 2022
Debiased Recommendation with Neural Stratification Quanyu Dai Zhenhua Dong Xu Chen 20 4 0 15 Aug 2022
Trustworthy Recommender Systems Shoujin Wang Xiuzhen Zhang Yan Wang Huan Liu Francesco Ricci 45 51 0 10 Aug 2022
Debiased Cross-modal Matching for Content-based Micro-video Background Music Recommendation Jin Yi Zhenzhong Chen 43 1 0 07 Aug 2022
Bilateral Self-unbiased Learning from Biased Implicit Feedback Jae-woong Lee Seongmin Park Joonseok Lee Jongwuk Lee CML 27 12 0 26 Jul 2022
Reconsidering Learning Objectives in Unbiased Recommendation with Unobserved Confounders Teng Xiao Zhengyu Chen Suhang Wang OOD CML OffRL 32 0 0 07 Jun 2022
RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring Qiang Liu Yingtao Luo Shu Wu Zhen Zhang Xiangnan Yue Hong Jin Liang Wang 36 8 0 01 Jun 2022
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems Hossein A. Rahmani Mohammadmehdi Naghiaei M. Dehghan Mohammad Aliannejadi FaML 41 35 0 17 May 2022
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random Haoxuan Li Chunyuan Zheng Peng Wu 19 44 0 10 May 2022
Cross Pairwise Ranking for Unbiased Item Recommendation Qi Wan Xiangnan He Xiang Wang Jiancan Wu Wei Guo Ruiming Tang CML 27 36 0 26 Apr 2022
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations Haoxuan Li Yan Lyu Chunyuan Zheng Peng Wu 27 41 0 19 Mar 2022
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies Ruichu Cai Fengzhu Wu Zijian Li Jie Qiao Wei Chen Yuexing Hao Hao Gu CML OffRL 26 5 0 13 Jan 2022
Deconfounded Causal Collaborative Filtering Shuyuan Xu Juntao Tan Shelby Heinecke Jia Li Yongfeng Zhang CML 35 40 0 14 Oct 2021