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Department of Preventive Medicine Biostatistics Seminar Series: Big Data is Low Rank


The Division of Biostatistics at the Department of Preventive Medicine, UTHSC, invites you to attend the following seminar.  


Time: Monday, January 22, 2:00 PM-3:00 PM CDT   

ZOOM Virtual Room Connection: Register in advance for this meeting     

Seminar Website: https://www.eventcreate.com/e/biostatisticsseminar    

Speaker Biohttps://web.stanford.edu/~udell/bio.html


Big Data is Low Rank

Madeleine Udell, Ph.D.

Management Science and Engineering, Stanford University

affiliated with the Institute for Computational and Mathematical Engineering, 

courtesy appointment in Electrical Engineering 

Data scientists are often faced with the challenge of understanding a high dimensional data set organized as a table. These tables may have columns of different (sometimes, non-numeric) types, and often have many missing entries. This talk surveys methods based on low rank models to analyze these big messy data sets. We show that low rank models perform well — indeed, suspiciously well — across a wide range of data science applications, including in social science, medicine, and machine learning. This good performance demands (and this talk provides) a simple mathematical explanation for their effectiveness, which identifies when low rank models perform well and when to look beyond low rank.