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Personalized Counterfactual Fairness in Recommendation

Personalized Counterfactual Fairness in Recommendation

20 May 2021
Yunqi Li
Hanxiong Chen
Shuyuan Xu
Yingqiang Ge
Yongfeng Zhang
    FaML
    OffRL
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Papers citing "Personalized Counterfactual Fairness in Recommendation"

11 / 11 papers shown
Title
Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies
Yuefan Cao
Xiaoyu Li
Yingyu Liang
Zhizhou Sha
Zhenmei Shi
Zhao-quan Song
Jiahao Zhang
88
7
0
02 Feb 2025
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning
Caleb J. S. Barr
Olivia Erdelyi
Paul D. Docherty
Randolph C. Grace
FaML
68
0
0
10 Nov 2024
Fairness in Reinforcement Learning: A Survey
Fairness in Reinforcement Learning: A Survey
Anka Reuel
Devin Ma
OffRL
FaML
28
4
0
11 May 2024
Causal Learning for Trustworthy Recommender Systems: A Survey
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
37
1
0
13 Feb 2024
COFFEE: Counterfactual Fairness for Personalized Text Generation in
  Explainable Recommendation
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
Nan Wang
Qifan Wang
Yi-Chia Wang
Maziar Sanjabi
Jingzhou Liu
Hamed Firooz
Hongning Wang
Shaoliang Nie
28
6
0
14 Oct 2022
Analyzing the Effect of Sampling in GNNs on Individual Fairness
Analyzing the Effect of Sampling in GNNs on Individual Fairness
Rebecca Salganik
Fernando Diaz
G. Farnadi
24
1
0
08 Sep 2022
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture
  Search (MANAS)
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS)
H. Chen
Yunqi Li
He Zhu
Yongfeng Zhang
31
5
0
23 Aug 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive
  Adversarial Learning
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
Tao Qi
Fangzhao Wu
Chuhan Wu
Lingjuan Lyu
Tongye Xu
Zhongliang Yang
Yongfeng Huang
Xing Xie
FedML
29
36
0
07 Jun 2022
Experiments on Generalizability of User-Oriented Fairness in Recommender
  Systems
Experiments on Generalizability of User-Oriented Fairness in Recommender Systems
Hossein A. Rahmani
Mohammadmehdi Naghiaei
M. Dehghan
Mohammad Aliannejadi
FaML
33
35
0
17 May 2022
Deconfounded Causal Collaborative Filtering
Deconfounded Causal Collaborative Filtering
Shuyuan Xu
Juntao Tan
Shelby Heinecke
Jia Li
Yongfeng Zhang
CML
29
40
0
14 Oct 2021
User-oriented Fairness in Recommendation
User-oriented Fairness in Recommendation
Yunqi Li
H. Chen
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
FaML
100
228
0
21 Apr 2021
1