Large-Scale Bayesian Tensor Reconstruction via Approximate Message Passing
CP generalized approximate message passing (CP-GAMP) is developed for incomplete noisy Bayesian CPD and synthetic and image-inpainting experiments show that CP-GAMP substantially reduces runtime relative to variational Bayesian CPD while maintaining competitive reconstruction accuracy.
Bingyang Cheng, Zhongtao Chen, Yichen Jin et al.
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