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Prof. Hal Daume III: Complex Predictions need not be Slow
Mon, Sep 17, 2012 @ 11:00 AM - 12:30 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Prof. Hal Daume III,
Talk Title: Complex Predictions need not be Slow
Series: CS Colloquium
Abstract: Abstract: Classic algorithms for predicting structured data (eg., graphs, trees, etc.) or rankings rely on expensive (sometimes intractable) inference at test time. In this talk, I'll discuss several recent approaches that enable computationally efficient (eg., linear-time) prediction at test time. These approaches fall in the category of learning algorithms that explicitly optimize a speed/accuracy trade-off, or optimize accuracy under a fixed computational budget. This is joint work with: Jason Eisner, Lise Getoor, Jiarong Jiang, He He, Adam Teichert, Tim Vieira, Jay Pujara and Lidan Wang.
Host: Fei Sha
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Jacob Beal
