no code implementations • 15 Dec 2023 • Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin
Invariant representation learning (IRL) encourages the prediction from invariant causal features to labels de-confounded from the environments, advancing the technical roadmap of out-of-distribution (OOD) generalization.
no code implementations • 28 Oct 2023 • Quanlong Guan, Tong Zhu, Liangda Fang, Junming Qiu, Zhao-Rong Lai, Weiqi Luo
Firstly, we present a modification of the original KM postulates based on belief states.
1 code implementation • IEEE Transactions on Systems, Man, and Cybernetics 2018 • Zhao-Rong Lai, Pei-Yi Yang, Liangda Fang, Xiaotian Wu
In the portfolio optimizing stage, a novel tracking system with a generalized increasing factor is proposed to maximize the future wealth of next period.