Raymond Wong

  • Associate Professor | Department of Statistics | Texas A&M University

Raymond is an Associate Professor in the Department of Statistics, Texas A&M University. He also takes the following roles:

  • Associate Editor, Journal of Computational and Graphical Statistics
  • Associate Editor, Journal of the American Statistical Association, Review
  • Member, Editorial Board, Chemometrics and Intelligent Laboratory Systems
  • Executive Committee Member, Research Institute for Foundations of Interdisciplinary Data Science (FIDS)

He was an Associate Editor for the Canadian Journal of Statistics from 2019–2021. He was also the Awards Chair for the ASA Section on Statistical Computing and the ASA Section on Statistical Graphics from 2020–2023.

News

  • November 2023: Raymond has been selected as a Top Reviewer for the Conference on Neural Information Processing Systems (NeurIPS).
  • September 2023: Paper on ‘Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data’ has been accepted by the Conference on Neural Information Processing Systems (NeurIPS). [link]
  • September 2023: Paper on ‘Flexible Functional Treatment Effect Estimation’ is now on arXiv. [link]
  • September 2023: Paper on ‘Prediction of Tropical Pacific Rain Rates with Over-parameterized Neural Networks’ is now on arXiv. [link]
  • June 2023: Paper on ‘Projected State-action Balancing Weights for Offline Reinforcement Learning’ has been accepted by the Annals of Statistics. [link]
  • May 2023: Paper on ‘Hierarchical Nuclear Norm Penalization for Multi-view Data’ has been accepted by Biometrics. [link]
  • May 2023: Jiangyuan has passed his Ph.D. final exam. He will join Google as a Data Scientist starting this July. Congratulations!
  • March 2023: Paper on ‘Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior’ has been accepted by Technometrics. [link]
  • February 2023: Paper on ‘Multivariate Varying-coefficient Models via Tensor Decomposition’ has been accepted by Statistica Sinica. [link]
  • January 2023: Paper on ‘Implicit Regularization for Group Sparsity’ has been accepted by the International Conference on Learning Representations (ICLR). [link]
  • January 2023: Paper on ‘RKHS-based Covariate Balancing for Survival Causal Effect Estimation’ has been accepted by Lifetime Data Analysis. [link]
  • January 2023: Raymond becomes a Reviews Associate Editor for the Journal of the American Statistical Association.