2020
Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee
NeurIPS 2020poster
Sparse deep learning aims to address the challenge of huge storage consumption by deep neural networks, and to recover the sparse structure of target functions. Although tremendous empirical successes have been achieved, most sparse deep learning algorithms are lacking of theoretical supports. On th…