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Kuś, G.I. (author), van der Zwaag, S. (author), Bessa, M.A. (author)
Gaussian processes are well-established Bayesian machine learning algorithms with significant merits, despite a strong limitation: lack of scalability. Clever solutions address this issue by inducing sparsity through low-rank approximations, often based on the Nystrom method. Here, we propose a different method to achieve better scalability...
journal article 2021