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Towards Trustworthy AI-Empowered Real-Time Bidding for Online
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Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning

21 September 2022
Xiaoli Tang
Han Yu
ArXivPDFHTML

Papers citing "Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning"

4 / 4 papers shown
Title
Ten Challenging Problems in Federated Foundation Models
Ten Challenging Problems in Federated Foundation Models
Tao Fan
Hanlin Gu
Xuemei Cao
Chee Seng Chan
Qian Chen
...
Y. Zhang
Xiaojin Zhang
Zhenzhe Zheng
Lixin Fan
Qiang Yang
FedML
73
3
0
14 Feb 2025
Trustworthy AI: A Computational Perspective
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
96
193
0
12 Jul 2021
User-oriented Fairness in Recommendation
User-oriented Fairness in Recommendation
Yunqi Li
H. Chen
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
FaML
96
228
0
21 Apr 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
286
4,143
0
23 Aug 2019
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