48 citations · 95 across the 6 of their papers we have counts for
6 papers
Domain Generalization via Multidomain Discriminant Analysis
Shoubo Hu, Kun Zhang, Zhitang Chen +1
Domain generalization (DG) aims to incorporate knowledge from multiple source domains into a single model that could generalize well on unseen target domains. This problem is ubiqu…
A Kernel Embedding-based Approach for Nonstationary Causal Model Inference
Shoubo Hu, Zhitang Chen, Laiwan Chan
Although nonstationary data are more common in the real world, most existing causal discovery methods do not take nonstationarity into consideration. In this letter, we propose a k…
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models
Shoubo Hu, Zhitang Chen, Vahid Partovi Nia +2
The inference of the causal relationship between a pair of observed variables is a fundamental problem in science, and most existing approaches are based on one single causal model…
Confounder Detection in High Dimensional Linear Models using First Moments of Spectral Measures
Furui Liu, Laiwan Chan
In this paper, we study the confounder detection problem in the linear model, where the target variable is predicted using its potential causes . Based…
Causal Inference on Discrete Data via Estimating Distance Correlations
Furui Liu, Laiwan Chan
In this paper, we deal with the problem of inferring causal directions when the data is on discrete domain. By considering the distribution of the cause and the conditional…
Bridging Information Criteria and Parameter Shrinkage for Model Selection
Kun Zhang, Heng Peng, Laiwan Chan +1
Model selection based on classical information criteria, such as BIC, is generally computationally demanding, but its properties are well studied. On the other hand, model selectio…