Asia
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
Igor Fedorov, Ryan P. Adams, Matthew Mattina, Paul Whatmough
Neural Information Processing Systems http://nips.cc/
d5b3d8dadd770c460b1cde910a711987-Paper.pdf
Estimating information from structured data is acentral theme in statistics that by now has found applications in a wide array of disciplines.
Random Tessellation Forests
Shufei Ge, Shijia Wang, Yee Whye Teh, Liangliang Wang, Lloyd Elliott
The flexibility of these methods is often limited bytherequirement thatthecutsbeaxisaligned.
Collapsed Variational Boundsfor Bayesian Neural Networks
In Figure 1 (left) weseethat Gaussian posteriors (intheabsenceofdata) optimizedwith Eq. (1) convergetotheirpriorN(w|0,1)[7,68]. In CMV -MF-VI, shown in (b.), prunedunitsconvergetospiked Gaussians.
ReusingCombinatorialStructure: FasterIterative ProjectionsoverSubmodularBasePolytopes
Wesubsequently adapt the away-step Frank-Wolfe algorithm to use this information and enable earlytermination.
