Search Results for author: Lawrence Carin Duke

Found 2 papers, 1 papers with code

Variational Inference and Model Selection with Generalized Evidence Bounds

no code implementations ICML 2018 Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin Duke

Recent advances on the scalability and flexibility of variational inference have made it successful at unravelling hidden patterns in complex data.

Model Selection Variational Inference

Chi-square Generative Adversarial Network

1 code implementation ICML 2018 Chenyang Tao, Liqun Chen, Ricardo Henao, Jianfeng Feng, Lawrence Carin Duke

To assess the difference between real and synthetic data, Generative Adversarial Networks (GANs) are trained using a distribution discrepancy measure.

Generative Adversarial Network

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