Nonstationary Sparse Spectral Permanental Process Zicheng Sun

Neural Information Processing Systems 

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

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