BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:iCalendar-Ruby
BEGIN:VEVENT
CATEGORIES:Colloquia / Seminar / Lecture
DESCRIPTION:Data contains algebraic structure\, which can be leveraged to\n
understand the systems it describes. I will discuss my work to extend\nline
ar algebra to the multilinear setting of tensors. We will see how\nmultilin
ear algebra gives interpretable insights from multimodal data\nand how it e
nables the solving of an inverse problem from analysis of\ntime series data
.\n\nAlgebraic structure can be used to interrogate models. I will describe
\nmy work to establish a correspondence between notions from invariant\nthe
ory and properties of statistical models with a group structure on\ntheir p
arameter space. This correspondence enables understanding the\nparameters i
n existing models that explain observed data\, as well as\nconstruction of
new models that capture otherwise inaccessible\ncharacteristics of\, for ex
ample\, biological systems.
DTEND:20220217T151500Z
DTSTAMP:20240229T072137Z
DTSTART:20220217T140000Z
LOCATION:Maxwell Dworkin G115
SEQUENCE:0
SUMMARY:Algebraic structure in models and data
UID:tag:localist.com\,2008:EventInstance_39136823439873
URL:https://events.seas.harvard.edu/event/algebraic_structure_in_models_and
_data
END:VEVENT
END:VCALENDAR