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Andrea Montanari
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I am interested in developing efficient algorithms to make sense of large amounts of noisy data, extract information from observations, estimate signals from measurements. This effort spans several disciplines including statistics, computer science, information theory, machine learning.
I am also working on applications of these techniques to healthcare data analytics.
I am also working on applications of these techniques to healthcare data analytics.
Papers291 papers
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ANNALS OF STATISTICS, no. 4 (2020): 1898-1901
American Journal of Obstetrics & Gynecology MFM, no. 2 (2020): 100100
COLT, pp.1078-1141, (2020)
NIPS 2020, (2020)
arXiv: Statistics Theory, (2019)
arXiv: Statistics Theory, (2019)
arXiv: Statistics Theory, (2019)
NeurIPS, (2019): 9108-9118
SODA '19: Symposium on Discrete Algorithms
San Diego
California
January, 2019, (2019): 2305-2321
NeurIPS, (2019)
Cited by16Bibtex
2019 IEEE 60TH ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE (FOCS 2019), pp.1417.0-1433, (2019)
Cited by19EIBibtex
COLT, (2019): 2388-2464
Communications on Pure and Applied Mathematics, no. 11 (2019): 2282-2330
Cited by4Bibtex
arXiv: Probability, (2019)
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