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

Jul 13, 2020
Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin

* AAAI 2020 

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GO Hessian for Expectation-Based Objectives

Jun 16, 2020
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin


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Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference

Jun 15, 2020
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

Jun 13, 2020
Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin


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On Leveraging Pretrained GANs for Limited-Data Generation

Feb 26, 2020
Miaoyun Zhao, Yulai Cong, Lawrence Carin


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GO Gradient for Expectation-Based Objectives

Jan 17, 2019
Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin


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

Jun 06, 2017
Yulai Cong, Bo Chen, Hongwei Liu, Mingyuan Zhou

* Appearing in ICML 2017 

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Gamma Belief Networks

Oct 06, 2016
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

Dec 30, 2015
Mingyuan Zhou, Yulai Cong, Bo Chen

* Neural Information Processing Systems (NIPS2015) 

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