| Minimax-optimal privacy-preserving sparse pca in distributed systems J Ge, Z Wang, M Wang, H Liu International Conference on Artificial Intelligence and Statistics, 1589-1598, 2018 | 46 | 2018 |
| Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python. J Ge, X Li, H Jiang, H Liu, T Zhang, M Wang, T Zhao Journal of Machine Learning Research 20 (44), 1-5, 2019 | 22 | 2019 |
| On quadratic convergence of DC proximal Newton algorithm in nonconvex sparse learning X Li, L Yang, J Ge, J Haupt, T Zhang, T Zhao Advances in neural information processing systems 30, 2017 | 14 | 2017 |
| Pixie: a social chatbot O Adewale, A Beatson, D Buniatyan, J Ge, M Khodak, H Lee, N Prasad, ... Alexa prize proceedings, 2017 | 14 | 2017 |
| PICASSO: PathwIse calibrated sparse shooting algOrithm J Ge, X Li, H Jiang, M Wang, T Zhang, H Liu, T Zhao R Foundation for Statistical Computing. R package version 1 (1), 24, 2019 | 5 | 2019 |
| On quadratic convergence of DC proximal Newton algorithm for nonconvex sparse learning in high dimensions X Li, LF Yang, J Ge, J Haupt, T Zhang, T Zhao arXiv preprint arXiv:1706.06066, 2017 | 1 | 2017 |
| Statistical Optimization for High Dimensional Machine Learning with Privacy and Sparsity Constraints J Ge Princeton University, 2019 | | 2019 |
| Package ‘picasso’ J Ge, X Li, H Jiang, M Wang, T Zhang, H Liu, T Zhao, MJ Ge | | 2016 |
| The picasso Package for High Dimensional Regularized Sparse Learning in R X Li, J Ge, T Zhang, M Wang, H Liu, T Zhao | | |
