基本信息
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个人简介
Formative education in Hai Phong (Vietnam), Bachelor's degree from POSTECH (Korea)
Master's degree from Arizona State University, apprenticing with Subbarao Kambhampati
Ph.D, University of California, Berkeley, advised by Michael Jordan and Martin Wainwright
Postdoctoral fellow at SAMSI and Duke University, working with Alan Gelfand and Jim Clark
Associate Editor, Bayesian Analysis (2014--)
Associate Editor, Annals of the Institute of Statistical Mathematics (2015--)
Program Committee's Area Chair, AISTATS (2015, 2017), ICML (2015, 2017), IJCAI (2016)
Research interests
Nonparametric Bayesian statistics
Machine learning and optimization
Hierarchical, mixture and graphical models
Spatiotemporal and functional data analysis
Statistical inference is the computational process of turning data into statistics, prediction and understanding. I work with richly structured data, such as those extracted from texts, images and other spatiotemporal signals. In recent years I have gravitated toward a field in statistics known as Bayesian nonparametrics, which provides a fertile and powerful mathematical framework for the development of many computational and statistical modeling ideas. The spirit of Bayesian nonparametric statistics is to enable the kind of inferential procedures according to which both the statistical modeling and computational complexity may adapt to increasingly large and complex data patterns in a graceful and effective way. In this framework, stochastic processes and random measures, along with latent variable models such as mixture, hierarchical and graphical models figure prominently. My motivation for all this came originally from an interest in machine learning, which continues to be a major source of research interest. A primary focus in my machine learning research is to develop more effective inference algorithms using variational, stochastic and geometric viewpoints.
研究兴趣
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Conference on Health, Inference, and Learning (CHIL)pp.354-374, (2022)
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Research Square (Research Square) (2021)
ACM Transactions on Database Systemsno. 4 (2019): 414-431
ELECTRONIC JOURNAL OF STATISTICSno. 2 (2019): 4224-4279
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