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All publications by Changyou Chen
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Scalable Deep Poisson Factor Analysis for Topic Modeling
Zhe Gan, Changyou Chen, Ricardo Henao, David Carlson and Lawrence Carin
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators
Changyou Chen, Nan Ding and Lawrence Carin
Advances in Neural Information Processing Systems 28, 2015


Bayesian Sampling Using Stochastic Gradient Thermostats
Nan Ding, Youhan Fang, Ryan Babbush, Changyou Chen, Robert D. Skeel and Hartmut Neven
Advances in Neural Information Processing Systems 27, 2014


Robust Bayesian Max-Margin Clustering
Changyou Chen, Jun Zhu and Xinhua Zhang
Advances in Neural Information Processing Systems 27, 2014


Dependent Normalized Random Measures
Changyou Chen, Vinayak Rao, Wray Buntine and Yee W. Teh
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling
Changyou Chen, Nan Ding and Wray Buntine
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012