FoCM 2014 conference

Workshop C3 - Learning Theory

December 18, 17:30 ~ 18:00 - Room B23

Trivial Pursuit: A Shallow Learning Retrospective

Benjamin Recht

University of California, Berkeley, USA   -

In this talk, I review the history of random features in machine learning over the last ten years. Presenting both my work on the subject and a survey of the related literature, I will show how shallow banks of random features are able to match the performance of complicated learned or engineered features on a variety of difficult learning tasks. I will then describe the present challenges in random feature design and our progress towards making these features scalable, parsimonious, and interpretable.

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