
CP Degeneracy in Tensor Regression
Tensor linear regression is an important and useful tool for analyzing t...
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A WaveletBased Independence Test for Functional Data with an Application to MEG Functional Connectivity
Measuring and testing the dependency between multiple random functions i...
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Broadcasted Nonparametric Tensor Regression
We propose a novel broadcasting idea to model the nonlinearity in tensor...
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LowRank Covariance Function Estimation for Multidimensional Functional Data
Multidimensional function data arise from many fields nowadays. The cova...
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Median Matrix Completion: from Embarrassment to Optimality
In this paper, we consider matrix completion with absolute deviation los...
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Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis
A remarkable recent discovery in machine learning has been that deep neu...
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Adjusting for Spatial Effects in Genomic Prediction
This paper investigates the problem of adjusting for spatial effects in ...
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Matrix Completion under LowRank Missing Mechanism
This paper investigates the problem of matrix completion from corrupted ...
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Network estimation via graphon with node features
Estimating the probabilities of linkages in a network has gained increas...
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Autoencoders Learn Generative Linear Models
Recent progress in learning theory has led to the emergence of provable ...
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Provably Accurate DoubleSparse Coding
Sparse coding is a crucial subroutine in algorithms for various signal p...
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Matrix Completion with Noisy Entries and Outliers
This paper considers the problem of matrix completion when the observed ...
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Raymond K. W. Wong
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