69 citations · 193 across the 7 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
cs.LG2017★ 24 cited
On the Complexity of Learning Neural Networks
Le Song, Santosh Vempala, John Wilmes +1
The stunning empirical successes of neural networks currently lack rigorous theoretical explanation. What form would such an explanation take, in the face of existing complexity-th…
cs.LG2017★ 2 cited
Deep Semi-Random Features for Nonlinear Function Approximation
Kenji Kawaguchi, Bo Xie, Vikas Verma +1
We propose semi-random features for nonlinear function approximation. The flexibility of semi-random feature lies between the fully adjustable units in deep learning and the random…