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Jie Shen
Assistant Professor
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My research interests lie in both the theoretical aspects and applications of machine learning. I am particularly interested in high-dimensional statistics, large-scale optimization, and their interplay. The problems that I have been working on include: low-rank matrix recovery, variable selection, online and stochastic optimization, active learning, and statistical social science.
My research interests lie in both the theoretical aspects and applications of machine learning. I am particularly interested in high-dimensional statistics, large-scale optimization, and their interplay. The problems that I have been working on include: low-rank matrix recovery, variable selection, online and stochastic optimization, active learning, and statistical social science.
Papers26 papers
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NIPS 2020, (2020)
Cited by2EIBibtex
International Journal of Precision Engineering and Manufacturing, pp.1-11, (2019)
international conference on artificial intelligence and statistics, (2019)
EIBibtex
ICML, pp.5158-5166, (2018)
Cited by2EIBibtex
international conference on machine learning, (2018)
Bibtex
JOURNAL OF MACHINE LEARNING RESEARCH, no. 208 (2018)
Cited by40EIBibtex
ICML, pp.3115-3124, (2017)
Cited by17EIBibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), (2017): 3127-3137
Cited by6EIBibtex
WSDM, pp.475-484, (2017)
Chinese Journal of Neuromedicine, no. 06 (2017): 625-629
Machine Learning, no. 3 (2017): 419-457
Pattern Recognition, (2017): 299-309
JMLR Workshop and Conference Proceedings, (2016): 500-509
Cited by13EIBibtex
ICML, pp.622-631, (2016)
Cited by40EIBibtex
arXiv: Machine Learning, (2015)
Bibtex
arXiv: Machine Learning, (2014)
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