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Shengjia Zhao
Ph.D
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Research Interests
Variational definitions of information and machine learning quantities
Individual risk, Operational interpretations for probability and forecast, Calibration
Deep generative models, high dimensional distribution modeling, representation learning
Active learning and online learning
Adversarial examples
Machine learning applications of information theory
Variational definitions of information and machine learning quantities
Individual risk, Operational interpretations for probability and forecast, Calibration
Deep generative models, high dimensional distribution modeling, representation learning
Active learning and online learning
Adversarial examples
Machine learning applications of information theory
Papers29 papers
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ICLR, (2020)
AISTATS, pp.4583-4592, (2020)
ICML, pp.11387-11397, (2020)
ICML, pp.5286-5295, (2020)
AISTATS, pp.4474-4484, (2020)
international conference on learning representations, (2020)
international conference on machine learning, (2019)
ICLR, (2019)
UAI, pp.86, (2019)
national conference on artificial intelligence, (2019)
arXiv: Machine Learning, (2018)
Cited by1Bibtex
UAI, pp.1031-1041, (2018)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 10792-10801
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018)
international conference on artificial intelligence and statistics, (2018)
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