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Chien Lu

2 accepted papers

2022

Gaussian Copula Embeddings

NeurIPS 2022accept

Learning latent vector representations via embedding models has been shown promising in machine learning. However, most of the embedding models are still limited to a single type of observation data. We propose a Gaussian copula embedding model to learn latent vector representations of items in a he…

Cited by 0SourcePDFScholar
2022

Nonparametric exponential family graph embeddings for multiple representation learning

UAI 2022poster

In graph data, each node often serves multiple functionalities. However, most graph embedding models assume that each node can only possess one representation. We address this issue by proposing a nonparametric graph embedding model. The model allows each node to learn multiple representations where…

Cited by 1SourcePDFScholar