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cs.LG2025
Large-Scale Bayesian Tensor Reconstruction via Approximate Message Passing
Bingyang Cheng, Zhongtao Chen, Yichen Jin +4
While CANDECOMP/PARAFAC (CP) decomposition (CPD) is fundamental for tensor reconstruction, Bayesian CPD often scales poorly because variational updates require repeated matrix inve…
cs.LG2020
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using The Generalized Hyperbolic Prior
Lei Cheng, Zhongtao Chen, Qingjiang Shi +2
Tensor rank learning for canonical polyadic decomposition (CPD) has long been deemed as an essential yet challenging problem. In particular, since the tensor rank controls the comp…