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Gaussian Process regression over discrete probability measures: on the
  non-stationarity relation between Euclidean and Wasserstein Squared
  Exponential Kernels

Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels

Journal of Global Optimization (J. Glob. Optim.), 2022
2 December 2022
Antonio Candelieri
Andrea Ponti
Francesco Archetti
ArXiv (abs)PDFHTML

Papers citing "Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels"

1 / 1 papers shown
Gromov-Wasserstein and optimal transport: from assignment problems to probabilistic numeric
Gromov-Wasserstein and optimal transport: from assignment problems to probabilistic numeric
Iman Seyedi
Antonio Candelieri
Enza Messina
Francesco Archetti
OT
231
1
0
04 Sep 2025
1
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