Laiwan Chan — accepted AI-conference papers

2019

Domain Generalization via Multidomain Discriminant Analysis

Shoubo Hu, Kun Zhang, Zhitang Chen, Laiwan Chan

UAI 2019poster

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 ubiquitous in practice since the distributions of the target data may rarely be identical to those of the source data. In thi…

Cited by 140 Source ↗PDF ↗Scholar ↗

2018

Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models

Shoubo Hu, Zhitang Chen, Vahid Partovi Nia, Laiwan CHAN, Yanhui Geng

NeurIPS 2018poster

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. In practice, however, observations are often collected from multiple sources with heterogeneous causal models due to c…

Cited by 32 Source ↗PDF ↗code ↗Scholar ↗