no code implementations • 27 Feb 2014 • Ziyu Wang, Babak Shakibi, Lin Jin, Nando de Freitas
In this paper, we introduce a new technique for efficient global optimization that combines Gaussian process confidence bounds and treed simultaneous optimistic optimization to eliminate the need for auxiliary optimization of acquisition functions.
no code implementations • NeurIPS 2013 • Misha Denil, Babak Shakibi, Laurent Dinh, Marc'Aurelio Ranzato, Nando de Freitas
We demonstrate that there is significant redundancy in the parameterization of several deep learning models.