Learning low-complexity autoregressive models via proximal alternating minimization
- Fu Lin
- Jie Chen
- 2018
- Systems and Control Letters
Publications
Date
Featured collections
Popular topics
31 results for Jie Chen
FastGCN: Fast learning with graph convolu-tional networks via importance sampling
- Jie Chen
- Tengfei Ma
- et al.
- 2018
- ICLR 2018
A posteriori error estimate for computing tr(f(A)) by using the Lanczos method
- Jie Chen
- Yousef Saad
- 2018
- Numer. Linear Algebra. Appl.
Hierarchically compositional kernels for scalable nonparametric learning
- Jie Chen
- Haim Avron
- et al.
- 2017
- JMLR
Learning low-complexity autoregressive models with limited time sequence data
- Fu Lin
- Jie Chen
- 2017
- ACC 2017
An Inversion-Free Estimating Equations Approach for Gaussian Process Models
- Mihai Anitescu
- Jie Chen
- et al.
- 2017
- Journal of Computational and Graphical Statistics
Fast estimation of tr(f(A)) via stochastic Lanczos quadrature
- Shashanka Ubaru
- Jie Chen
- et al.
- 2017
- SIMAX
Revisiting random binning features: Fast convergence and strong parallelizability
- Lingfei Wu
- Ian En Hsu Yen
- et al.
- 2016
- KDD 2016
Efficient one-vs-one kernel ridge regression for speech recognition
- Jie Chen
- Lingfei Wu
- et al.
- 2016
- ICASSP 2016
Analysis and Practical Use of Flexible BiCGStab
- Jie Chen
- Lois C. McInnes
- et al.
- 2016
- Journal of Scientific Computing