4 citations · 5 across the 2 of their papers we have counts for
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cs.LG2021★ 1 cited
Gaussian Experts Selection using Graphical Models
Hamed Jalali, Martin Pawelczyk, Gjergji Kasneci
Local approximations are popular methods to scale Gaussian processes (GPs) to big data. Local approximations reduce time complexity by dividing the original dataset into subsets an…
cs.LG2020★ 4 cited
Aggregating Dependent Gaussian Experts in Local Approximation
Hamed Jalali, Gjergji Kasneci
Distributed Gaussian processes (DGPs) are prominent local approximation methods to scale Gaussian processes (GPs) to large datasets. Instead of a global estimation, they train loca…