Jason Ge

According to our database, Jason Ge authored at least 4 papers between 2017 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python.

Jason Ge, Xingguo Li, Haoming Jiang, Han Liu, Tong Zhang, Mengdi Wang, Tuo Zhao

J. Mach. Learn. Res., 2019

2018

Minimax-Optimal Privacy-Preserving Sparse PCA in Distributed Systems.

Jason Ge, Zhaoran Wang, Mengdi Wang, Han Liu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions.

Xingguo Li, Lin F. Yang, Jason Ge, Jarvis D. Haupt, Tong Zhang, Tuo Zhao

CoRR, 2017

On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning.

Xingguo Li, Lin Yang, Jason Ge, Jarvis D. Haupt, Tong Zhang, Tuo Zhao

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017