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Stefanie Jegelka
I am a postdoc at UC Berkeley, working with Michael Jordan and Trevor Darrell. I am also a visitor at the International Computer Science Institute.
Before coming to Berkeley, I did my PhD in
Bernhard Schölkopf's group at the
Max Planck Institutes
in beautiful Tübingen and graduated from ETH
Zurich. During my PhD, I have worked with Jeff Bilmes,
and before that with Ulrike von Luxburg
and Arthur
Gretton.
I like to spend my brain cycles thinking about combinatorial problems in Machine Learning, in particular efficient (approximation) algorithms. My interests include submodularity and discrete optimization, graph problems, graphical models, kernel methods and clustering, and applications in computer vision.