351 citations · 1.2k across the 48 of their papers we have counts for
4 papers · 1 filter
Transferable Time-Series Forecasting under Causal Conditional Shift
Zijian Li, Ruichu Cai, Tom Z. J Fu +2
This paper focuses on the problem of semi-supervised domain adaptation for time-series forecasting, which is underexplored in literatures, despite being often encountered in practi…
Learning Temporally Causal Latent Processes from General Temporal Data
Weiran Yao, Yuewen Sun, Alex Ho +2
Our goal is to recover time-delayed latent causal variables and identify their relations from measured temporal data. Estimating causally-related latent variables from observations…
A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy
Kai Zhang, Chao Tian, Kun Zhang +2
The PC algorithm is the state-of-the-art algorithm for causal structure discovery on observational data. It can be computationally expensive in the worst case due to the conditiona…
FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders
Wei Chen, Kun Zhang, Ruichu Cai +4
We consider the problem of estimating a particular type of linear non-Gaussian model. Without resorting to the overcomplete Independent Component Analysis (ICA), we show that under…