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Lyle H. Ungar

Affiliations: 
Computer and Information Science University of Pennsylvania, Philadelphia, PA, United States 
Area:
Intelligent Systems: Machine Learning, Information Systems: Computational Biology and Bioinformatics
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Parents

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Robert A. Brown grad student 1979-1984 Boston University (Chemistry Tree)

Children

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David C. Parkes grad student Penn
Roy H. Kwon grad student 2002 Penn
Eugen C. Buehler grad student 2003 Penn
Panagiotis M. Markopoulos grad student 2004 Penn
Alexandrin Popescul grad student 2004 Penn
Andrew I. Schein grad student 2005 Penn
Annapurna Valluri grad student 2006 Penn
Gary Morris grad student 2008 Penn
Vasileios Kandylas grad student 2009 Penn
S. T. Sandler grad student 2009 Penn
Paramveer S. Dhillon grad student 2014 Penn

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Publications

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Jaidka K, Giorgi S, Schwartz HA, et al. (2020) Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods. Proceedings of the National Academy of Sciences of the United States of America
Atanasov P, Witkowski J, Ungar L, et al. (2020) Small steps to accuracy: Incremental belief updaters are better forecasters Organizational Behavior and Human Decision Processes. 160: 19-35
Luna JM, Gennatas ED, Ungar LH, et al. (2019) Building more accurate decision trees with the additive tree. Proceedings of the National Academy of Sciences of the United States of America
Markopoulos PM, Aron R, Ungar LH. (2016) Product Information Websites: Are They Good for Consumers? Journal of Management Information Systems. 33: 624-651
Satopää VA, Pemantle R, Ungar LH. (2016) Modeling Probability Forecasts via Information Diversity Journal of the American Statistical Association. 111: 1623-1633
Dhillon PS, Foster DP, Ungar LH. (2015) Eigenwords: Spectral word embeddings Journal of Machine Learning Research. 16: 3035-3078
Dhillon PS, Wolk DA, Das SR, et al. (2014) Subject-specific functional parcellation via prior based eigenanatomy. Neuroimage. 99: 14-27
Dhillon PS, Gee JC, Ungar L, et al. (2013) Anatomically-constrained PCA for image parcellation Proceedings - 2013 3rd International Workshop On Pattern Recognition in Neuroimaging, Prni 2013. 25-28
Markopoulos PM, Aron R, Ungar LH. (2013) How do infomediaries affect firms' information strategies, and how do they impact buyer and social welfare? International Conference On Information Systems (Icis 2013): Reshaping Society Through Information Systems Design. 2: 1897-1915
Dhillon PS, Foster DP, Kakade SM, et al. (2013) A risk comparison of ordinary least squares vs ridge regression Journal of Machine Learning Research. 14: 1505-1511
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