基本信息
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职业迁徙
个人简介
My current research interest focuses on scalable Bayesian methods and deep learning. Specially, I am interested in developing algorithms and theory for stochastic gradient Markov Chain Monte Carlo, deep generative models, as well as understanding insights of deep learning with Bayesian solutions.
I am also interested in Bayesian Nonparametrics, including but not limited to Poisson processes, Dirichlet processes, Indian buffet processes, Gaussian processes, and the family of dependent normalized random measures – my PhD thesis topic. For applications, I focus on Text Mining and Topic Models.
I am also interested in Bayesian Nonparametrics, including but not limited to Poisson processes, Dirichlet processes, Indian buffet processes, Gaussian processes, and the family of dependent normalized random measures – my PhD thesis topic. For applications, I focus on Text Mining and Topic Models.
研究兴趣
论文共 168 篇作者统计合作学者相似作者
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PROCESSESno. 2 (2024)
CVPR 2024 (2024)
引用0浏览0引用
0
0
ICLR 2024 (2024)
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0
0
CoRR (2024)
引用0浏览0EI引用
0
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Changyou Chen, Han Ding, Bunyamin Sisman,Yi Xu, Ouye Xie, Benjamin Z. Yao,Son Dinh Tran, Belinda Zeng
ICLR 2024 (2024)
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0
0
CoRR (2023): 9822-9839
引用5浏览0EI引用
5
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Proceedings of the ... AAAI Conference on Artificial Intelligenceno. 1 (2023): 57-66
引用0浏览0EI引用
0
0
CoRR (2023): 15105-15124
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