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Bridging Maximum Likelihood and Adversarial Learning via $α$-Divergence



Miaoyun Zhao , Yulai Cong , Shuyang Dai , Lawrence Carin

* AAAI 2020 

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GO Hessian for Expectation-Based Objectives



Yulai Cong , Miaoyun Zhao , Jianqiao Li , Junya Chen , Lawrence Carin


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Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference



Hao Zhang , Bo Chen , Yulai Cong , Dandan Guo , Hongwei Liu , Mingyuan Zhou

* To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence. arXiv admin note: text overlap with arXiv:1803.01328 

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GAN Memory with No Forgetting



Yulai Cong , Miaoyun Zhao , Jianqiao Li , Sijia Wang , Lawrence Carin


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On Leveraging Pretrained GANs for Limited-Data Generation



Miaoyun Zhao , Yulai Cong , Lawrence Carin


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GO Gradient for Expectation-Based Objectives



Yulai Cong , Miaoyun Zhao , Ke Bai , Lawrence Carin


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Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC



Yulai Cong , Bo Chen , Hongwei Liu , Mingyuan Zhou

* Appearing in ICML 2017 

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Gamma Belief Networks



Mingyuan Zhou , Yulai Cong , Bo Chen

* Journal of Machine Learning Research, 17(163):1-44, September 2016 
* 44 pages, 24 figures 

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The Poisson Gamma Belief Network



Mingyuan Zhou , Yulai Cong , Bo Chen

* Neural Information Processing Systems (NIPS2015) 

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