AI RESEARCH
Asymptotic Optimism for Tensor Regression Models with Applications to Neural Network Compression
arXiv CS.LG
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ArXi:2603.26048v1 Announce Type: cross We study rank selection for low-rank tensor regression under random covariates design. Under a Gaussian random-design model and some mild conditions, we derive population expressions for the expected