Interests
- Statistical Machine Learning
- Optimization
- Distributed estimation
- Distributed optimization
- Randomized and online methods for optimization
- Statistics for high-dimensional data
Education
- PhD in Computer Science, 2018University of Chicago
- B.E. Special Class for the Gifted Young, 2011University of Science and Technology of China
Publications
Efficient Distributed Learning with Sparsity
Proceedings of the 34th International Conference on Machine Learning
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics
Sketching meets random projection in the dual: a provable recovery algorithm for big and high-dimensional data
Electron. J. Stat
Sketching meets random projection in the dual: a provable recovery algorithm for big and high-dimensional data
Electronic Journal of Statistics, 11(2), 4896–4944
Distributed Multi-Task Learning
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics
Inference for High-dimensional Exponential Family Graphical Models
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics