Look Who it Was Random video

Archive: How to Make Predictions When You're Short on Information

1,444 views · Published 13 January 2014 · 56:06 · Indexed 14 November 2026

Channel: UW Video · 2014 · Education

Watch on YouTube

With the advent of massive social networks, exascale computing, and high-throughput biology, researchers in every scientific department now face profound challenges in analyzing, manipulating and identifying behavior from a deluge of noisy, incomplete data. In this talk, the speaker presents a unifying framework to make such data analysis tasks less sensitive to corrupted and missing data by exploiting domain specific knowledge and prior information about structure. This talk advances a framework for transforming notions of simplicity and latent low-dimensionality into convex optimization problems. It also enables focused algorithmic development that can be deployed in many different applications.

Ben Recht, University of Wisconsin, Madison

2/26/13
The University of Washington is committed to ensuring digital accessibility in our services, programs, and activities. If you encounter accessibility barriers using videos found on this channel, please contact UW Video at uwvideo [at] uw [dot] edu.

More from this channel