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个人简介
I'm a Ph.D. student in Prof. Smyth's DataLab group, and my general area is artificial intelligence and machine learning. Specifically, my research focuses on large-scale machine learning, Bayesian models (such as topic models and social network models), and efficient statistical inference algorithms (including fast MCMC/variational methods, composite likelihoods, contrastive divergence, and particle filtering). This work has been supported by an NSF Graduate Fellowship. In Spring 2010, I taught CS 175, a project course in artificial intelligence.
研究兴趣
论文共 29 篇作者统计合作学者相似作者
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Proceedings of the first ACM conference on Learning @ scale conference (2014)
L@S '14: Proceedings of the first ACM conference on Learning @ scale conferencepp.187-188, (2014)
IEEE Transactions on Knowledge and Data Engineeringno. 1 (2013): 131-144
UAI '09: Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (2012): 27-34
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Distributed and accelerated inference algorithms for probabilistic graphical modelspp.216-216, (2011)
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