Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective

27 January 2023

Papers citing "Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective"

6 / 6 papers shown

Title
HiMoE: Heterogeneity-Informed Mixture-of-Experts for Fair Spatial-Temporal Forecasting Shaohan Yu Pan Deng Yu Zhao J. Liu Ziáng Wang MoE 79 0 0 30 Nov 2024
Graph Neural Controlled Differential Equations for Traffic Forecasting Jeongwhan Choi Hwangyong Choi JeeHyun Hwang Noseong Park BDL AI4TS 85 262 1 07 Dec 2021
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 96 228 0 21 Apr 2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series Chao Shang Jie Chen J. Bi CML BDL AI4TS 92 226 0 18 Jan 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 161 3,799 0 14 Dec 2020
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