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stat.ML2024
High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors
Elynn Chen, Yuefeng Han, Jiayu Li
Tensor classification is gaining importance across fields, yet handling partially observed data remains challenging. In this paper, we introduce a novel approach to tensor classifi…
cs.LG2024
TEAFormers: TEnsor-Augmented Transformers for Multi-Dimensional Time Series Forecasting
Linghang Kong, Elynn Chen, Yuzhou Chen +1
Multi-dimensional time series data, such as matrix and tensor-variate time series, are increasingly prevalent in fields such as economics, finance, and climate science. Traditional…
stat.ME2024
High-Dimensional Tensor Classification with CP Low-Rank Discriminant Structure
Elynn Chen, Yuefeng Han, Jiayu Li
Tensor classification has become increasingly crucial in statistics and machine learning, with applications spanning neuroimaging, computer vision, and recommendation systems. Howe…