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Biostatistics Seminar: Deep Learning

January 24, 2019 @ 3:30 pm - 4:30 pm

Andrew Gordon Wilson, PhD, assistant professor at Cornell University, will present a seminar titled “Uncertainty, Loss Valleys, and Generalization in Deep Learning.”

Abstract:
In this talk, we approach model construction from a probabilistic perspective. First, we introduce a scalable Gaussian process framework capable of learning expressive kernel functions on large datasets, implemented in our new library GPyTorch. We then develop this framework into an approach for deep kernel learning, with full predictive distributions and automatic complexity calibration. We will consider applications in crime prediction, epidemiology, counterfactuals, and autonomous vehicles. We will also present our work in understanding loss geometry in deep learning, leading to practical training methods with scalable uncertainty representation and improved generalization.

Details

Date:
January 24, 2019
Time:
3:30 pm - 4:30 pm
Event Categories:
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Location

Blue Cross and Blue Shield Auditorium (0001 Michael Hooker Research Center)
Michael Hooker Research Center
Chapel Hill, NC 27516 United States
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