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stat.ML2021
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes
Conor Tillinghast, Zheng Wang, Shandian Zhe
We propose a nonparametric factorization approach for sparsely observed tensors. The sparsity does not mean zero-valued entries are massive or dominated. Rather, it implies the obs…
stat.ML2021
Spectrum Gaussian Processes Based On Tunable Basis Functions
Wenqi Fang, Guanlin Wu, Jingjing Li +3
Spectral approximation and variational inducing learning for the Gaussian process are two popular methods to reduce computational complexity. However, in previous research, those m…