2018
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning
CVPR 2018poster
Understanding the global optimality in deep learning (DL) has been attracting more and more attention recently. Conventional DL solvers, however, have not been developed intentionally to seek for such global optimality. In this paper we propose a novel approximation algorithm, {em BPGrad}, towards o…