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 reinforcement learning as well as their applications. E-mail: yulingy [@] princeton [DOT] edu Google Scholar

News

• A new paper on statistical inference for PCA: Inference for Heteroskedastic PCA with Missing Data.

• I will visit Simons Institute in Fall 2021 to participate in the program Computational Complexity of Statistical Inference.

• Our paper on Robust PCA (optimal estimation of low-rank matrix from partial entries corrupted by noise and outliers) is accepted to the Annals of Statistics.

Recent Papers

• Inference for Heteroskedastic PCA with Missing Data
  Yuling Yan, Yuxin Chen, Jianqing Fan
  

• Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model
  Bingyan Wang*, Yuling Yan*, Jianqing Fan (*=equal contribution)
  

• Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution
  Yuxin Chen, Jianqing Fan, Bingyan Wang, Yuling Yan (alphabetical order)
  Accepted to Journal of the American Statistical Association, 2021
  

• Efficient Clustering for Stretched Mixtures: Landscape and Optimality
  Kaizheng Wang, Yuling Yan, Mateo Díaz
  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)
  Accepted to Annals of Statistics, 2021
  

• 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, 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)
  SIAM Journal on Optimization, vol. 30, no. 4, pp. 3098-3121, 2020