I am Raymond Wong, an assistant professor in the Department of Statistics, Texas A&M University. Before joining A&M, I was an assistant professor in the Department of Statistics, Iowa State University. I work on statistical problems with modern data complications such as big data, high dimensionality and manifold structures.
Spring - Stat 211: Principles of Statistics I
Earlier version 'Autoencoders Learn Generative Linear Models' appeared at ICML2018 workshop on Theoretical Foundations and Applications of Deep Generative Models
"On the Dynamics of Gradient Descent for Autoencoders".
International Conference on Artificial Intelligence and Statistics (AISTATS).
Abstract Journal arXiv Supplement Code
"Nonparametric Operator-Regularized Covariance Function Estimation for Functional Data".
Computational Statistics & Data Analysis, 131, Special Issue on High-dimensional and Functional Data Analysis, 131-144.
Abstract Journal Supplement
"Partially Linear Functional Additive Models for Multivariate Functional Data".
Journal of the American Statistical Association.