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个人简介
Aurélie Lozano is a Research Staff Member at the IBM T.J. Watson Research Center.
She received the M.S./Dipl.Ing. degree in Communication Systems from the Swiss Federal Institute of Technology Lausanne (EPFL) in 2001, and the M.A. and Ph.D. degrees in Electrical Engineering from Princeton University respectively in 2004 and 2007.
Her research interests include machine learning, statistics and optimization. Her current focus is on high dimensional data analysis and predictive modeling, with applications including biology, environmental sciences, business and infrastructure analytics, and social media analytics.
Selected Honors and Awards:
Gordon Wu Fellowship, Princeton University
Best paper award, Conference on Uncertainty in Articificial Intelligence (UAI) 2013
IBM Research Pat Goldberg Memorial best paper award, 2013.
Conference Area Chair: NIPS 2014, ICML 2015, NIPS 2015, ICML 2016
研究兴趣
论文共 80 篇作者统计合作学者相似作者
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International Conference on Artificial Intelligence and Statistics (2024): 415-423
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Payel Das,Subhajit Chaudhury, Elliot Nelson,Igor Melnyk,Sarath Swaminathan, Sophie Dai,Aurelie Lozano,Georgios Kollias,Vijil Chenthamarakshan, Jiri Navratil,Soham Dan,Pin-Yu Chen
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CoRR (2024)
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arXiv (Cornell University) (2023)
BMC bioinformaticsno. 1 (2023): 1-15
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1-5, (2023)
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