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stat.ML2023
Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data
Shuo-Chieh Huang, Ruey S. Tsay
Feature-distributed data, referred to data partitioned by features and stored across multiple computing nodes, are increasingly common in applications with a large number of featur…
stat.ML2019
Tensor Canonical Correlation Analysis with Convergence and Statistical Guarantees
You-Lin Chen, Mladen Kolar, Ruey S. Tsay
In many applications, such as classification of images or videos, it is of interest to develop a framework for tensor data instead of an ad-hoc way of transforming data to vectors…