On the Convergence of the Shapley Value in Parametric Bayesian Learning
Games

On the Convergence of the Shapley Value in Parametric Bayesian Learning Games

16 May 2022

Lucas Agussurja

Xinyi Xu

Papers citing "On the Convergence of the Shapley Value in Parametric Bayesian Learning Games"

6 / 6 papers shown

Title
BrainCodec: Neural fMRI codec for the decoding of cognitive brain states Yuto Nishimura Masataka Sawayama Ayumu Yamashita Hideki Nakayama Kaoru Amano 32 2 0 06 Oct 2024
Bayesian Regression Markets Thomas Falconer J. Kazempour Pierre Pinson 17 3 0 23 Oct 2023
Goal-Oriented Communications in Federated Learning via Feedback on Risk-Averse Participation Shashi Raj Pandey Van-Phuc Bui P. Popovski FedML 21 4 0 19 May 2023
Probably Approximate Shapley Fairness with Applications in Machine Learning Zijian Zhou Xinyi Xu Rachael Hwee Ling Sim Chuan-Sheng Foo K. H. Low TDI 18 9 0 01 Dec 2022
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning Jiachen T. Wang R. Jia FedML TDI 52 94 0 30 May 2022
Collaborative Machine Learning with Incentive-Aware Model Rewards Rachael Hwee Ling Sim Yehong Zhang M. Chan Hsiang Low FedML 109 123 0 24 Oct 2020