no code implementations • 26 May 2022 • Xia Liu, Geng Liu, Jiaxin Huang, Hao-Kai Zhang, Xin Wang
Variational quantum algorithms (VQAs) are expected to establish valuable applications on near-term quantum computers.
no code implementations • 13 Jan 2020 • Xia Liu
In particular, we prove that the constructed deep nets can reach the optimal approximation rate in approximating both smooth and sparse functions with controllable magnitude of free parameters.
no code implementations • 20 Apr 2016 • Lin Xu, Shao-Bo Lin, Jinshan Zeng, Xia Liu, Zongben Xu
In this paper, we find that SGD is not the unique greedy criterion and introduce a new greedy criterion, called "$\delta$-greedy threshold" for learning.
no code implementations • 24 Jan 2014 • Shaobo Lin, Xia Liu, Jian Fang, Zongben Xu
On one hand, we find that the randomness causes an additional uncertainty problem of ELM, both in approximation and learning.
