This event has ended. View the official site or create your own event → Check it out
This event has ended. Create your own
View analytic
Tuesday, December 8 • 19:00 - 23:59
The Human Kernel

Sign up or log in to save this to your schedule and see who's attending!

Bayesian nonparametric models, such as Gaussian processes, provide a compelling framework for automatic statistical modelling: these models have a high degree of flexibility, and automatically calibrated complexity. However, automating human expertise remains elusive; for example, Gaussian processes with standard kernels struggle on function extrapolation problems that are trivial for human learners. In this paper, we create function extrapolation problems and acquire human responses, and then design a kernel learning framework to reverse engineer the inductive biases of human learners across a set of behavioral experiments. We use the learned kernels to gain psychological insights and to extrapolate in human-like ways that go beyond traditional stationary and polynomial kernels. Finally, we investigate Occam's razor in human and Gaussian process based function learning.

Tuesday December 8, 2015 19:00 - 23:59
210 C #24

Attendees (7)