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News/Large-Scale Bayesian Tensor Reconstruction via Approximate Message Passing
arxiv
PublishedSeptember 1, 2026 at 4:00 AM

Large-Scale Bayesian Tensor Reconstruction via Approximate Message Passing

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arXiv:2505.16305v3 Announce Type: replace Abstract: While CANDECOMP/PARAFAC (CP) decomposition (CPD) is fundamental for tensor reconstruction, Bayesian CPD often scales poorly because variational updates require repeated matrix inversions. We develop CP generalized approximate message passing (CP-GA

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