Nonstationary Sparse Spectral Permanental Process

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.