Yuchen Zhou

I am a postdoctoral researcher in the Department of Statistics and Data Science at the Wharton School at the University of Pennsylvania, supervised by Professor Yuxin Chen. Previously, I received my Ph.D. in the Department of Statistics at the University of Wisconsin-Madison, co-advised by Professor Anru Zhang and Professor Yazhen Wang. Before my Ph.D., I received my bachelor's degree from School of Mathematical Sciences at Peking University in 2016, advised by Professor Liwei Wang. I will join the Department of Statistics at the University of Illinois Urbana-Champaign as an assistant professor in Fall 2024. I am interested in high-dimensional statistical inference, tensor data analysis, statistical learning theory, and nonconvex optimization. My Erdős number is 3. E-mail: yczhou [AT] wharton [DOT] upenn [DOT] edu Google Scholar CV

Papers

• Heteroskedastic Tensor Clustering
  Yuchen Zhou, Yuxin Chen
  Submitted
  

• Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA
  Yuchen Zhou, Yuxin Chen
  Major revision at Annals of Statistics
  

• Inference for Low-rank Tensors – No Need to Debias
  Dong Xia, Anru Zhang, Yuchen Zhou (alphabetical order)
  Annals of Statistics, 2022
  

• Optimal High-order Tensor SVD via Tensor-Train Orthogonal Iteration
  Yuchen Zhou, Anru Zhang, Lili Zheng, Yazhen Wang
  IEEE Transactions on Information Theory, 2022
  (This paper received IMS Hannan Graduate Student Travel Award, 2021.)
  

• Sparse Group Lasso: Optimal Sample Complexity, Convergence Rate, and Statistical Inference
  T. Tony Cai, Anru Zhang, Yuchen Zhou (alphabetical order)
  IEEE Transactions on Information Theory, 2022
  

• High-dimensional Log-Error-in-Variable Regression with Applications to Microbial Compositional Data Analysis
  Pixu Shi, Yuchen Zhou, Anru Zhang (: equal contributions)
  Biometrika, 2022
  (This paper received Biometrics Early-Stage Investigator Award by the Biometrics Section of the American Statistical Association, 2019.)
  

• On the Non-asymptotic and Sharp Lower Tail Bounds of Random Variables
  Anru Zhang, Yuchen Zhou (alphabetical order)
  STAT, 2020
  

• Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation
  Chen Dan, Hong Wang, Hongyang Zhang, Yuchen Zhou, Pradeep Ravikumar (: equal contributions)
  Advances in Neural Information Processing Systems (NeurIPS), 2019
  

• Dropout Training, Data-dependent Regularization, and Generalization Bounds
  Wenlong Mou, Yuchen Zhou, Jun Gao, Liwei Wang
  International Conference on Machine Learning (ICML), 2018
  

• Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations
  Chen Dan, Kristoffer Arnsfelt Hansen, He Jiang, Liwei Wang, Yuchen Zhou (alphabetical order)
  43rd International Symposium on Mathematical Foundations of Computer Science (MFCS), 2018