Yuling Yan

I am a third year Ph.D. student in the Department of Operations Research and Financial Engineering at Princeton University under the supervision of Professor Yuxin Chen and Professor Jianqing Fan. Before coming to Princeton, I received my bachelor's degree from School of Mathematical Sciences at Peking University in 2018. I am broadly interested in statistics, optimization and optimal transport as well as their applications. E-mail: yulingy [@] princeton [DOT] edu Google Scholar

Recent Papers

• Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution
  Yuxin Chen, Jianqing Fan, Bingyan Wang, Yuling Yan (alphabetical order)
  

• Efficient Clustering for Stretched Mixtures: Landscape and Optimality
  Kaizheng Wang, Yuling Yan, Mateo Díaz
  accepted to Neural Information Processing Systems (NeurIPS), 2020
  

• Bridging Convex and Nonconvex Optimization in Robust PCA: Noise, Outliers, and Missing Data
  Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan (alphabetical order)
  Under revision for Annals of Statistics
  

• Inference and Uncertainty Quantification for Noisy Matrix Completion
  Yuxin Chen, Jianqing Fan, Cong Ma, Yuling Yan (alphabetical order)
  Proceedings of the National Academy of Science, vol. 116, no. 46, pp. 22931-22937, Nov. 2019
  

• Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization
  Yuxin Chen, Yuejie Chi, Jianqing Fan, Cong Ma, Yuling Yan (alphabetical order)
  accepted to SIAM Journal on Optimization, 2020