Nonstationary Sparse Spectral Permanental Process

Neural Information Processing Systems 

Existing permanental processes often impose constraints on kernel types or sta-tionarity, limiting the model's expressiveness. To overcome these limitations, we propose a novel approach utilizing the sparse spectral representation of non-stationary kernels.

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