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Events for November 17, 2016
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CS Colloquium: Arindam Banerjee (University of Minnesota, Twin Cities) - Learning with Low Samples in High-Dimensions: Estimators, Geometry, and Applications
Thu, Nov 17, 2016 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Arindam Banerjee, University of Minnesota, Twin Cities
Talk Title: Learning with Low Samples in High-Dimensions: Estimators, Geometry, and Applications
Series: Yahoo! Labs Machine Learning Seminar Series
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium. Part of Yahoo! Labs Machine Learning Seminar Series.
Many machine learning problems, especially scientific problems in areas such as ecology, climate science, and brain sciences, operate in the so-called `low samples, high dimensions' regime. Such problems typically have numerous possible predictors or features, but the number of training examples is small, often much smaller than the number of features. In this talk, we will discuss recent advances in general formulations and estimators for such problems. These formulations generalize prior work such as the Lasso and the Dantzig selector. We will discuss the geometry underlying such formulations, and how the geometry helps in establishing finite sample properties of the estimators. We will also discuss applications of such results in structure learning in probabilistic graphical models, along with real world applications in ecology and climate science.
This is joint work with Soumyadeep Chatterjee, Sheng Chen, Farideh Fazayeli, Andre Goncalves, Jens Kattge, Igor Melnyk, Peter Reich, Franziska Schrodt, Hanhuai Shan, and Vidyashankar Sivakumar.
Biography: Arindam Banerjee is an Associate Professor at the Department of Computer & Engineering and a Resident Fellow at the Institute on the Environment at the University of Minnesota, Twin Cities. His research interests are in statistical machine learning and data mining, and applications in complex real-world problems including climate science, ecology, recommendation systems, text analysis, brain sciences, finance, and aviation safety. He has won several awards, including the Adobe Research Award (2016), the IBM Faculty Award (2013), the NSF CAREER award (2010), and six Best Paper awards in top-tier conferences.
Host: Yan Liu
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Facebook Panel at USC
Thu, Nov 17, 2016 @ 07:00 PM - 09:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
As the semester is coming to a close, Facebook would like to invite you to take a break from your homework and projects and join us for a couple hours of free food, free swag, and (free) mingling with full-time Facebook engineers.
If you're curious about engineering opportunities at Facebook, whether it be for an internship or full-time job, this is the event for you! There will be a panel-style Q&A session, followed by catered snacks, so bring both your questions and your appetite. Undergrad and grad students welcome.
Brought to you by the USC Facebook Campus AmbassadorsLocation: Mark Taper Hall Of Humanities (THH) - 201
Audiences: Everyone Is Invited
Contact: Ryan Rozan
