no code implementations • NeurIPS 2021 • Shaogao Lv, Junhui Wang, Jiankun Liu, Yong liu
In this paper, we provide theoretical results of estimation bounds and excess risk upper bounds for support vector machine (SVM) with sparse multi-kernel representation.
no code implementations • ICLR 2021 • Yong liu, Jiankun Liu, Shuqiang Wang
In this paper, we study the statistical properties of distributed kernel ridge regression together with random features (DKRR-RF), and obtain optimal generalization bounds under the basic setting, which can substantially relax the restriction on the number of local machines in the existing state-of-art bounds.
no code implementations • 18 Jun 2020 • Jian Li, Yong liu, Jiankun Liu, Weiping Wang
The encoder and the decoder belong to a graph VAE, mapping architectures between continuous representations and network architectures.