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Is there a way to define a 'heterogeneous' kernel design to incorporate linear operators into the regression for GPflow (or GPytorch/GPy/...)?

score 287 · Answer 1 · 2024-09-08 21:07:04

Is there a way to define a 'heterogeneous' kernel design to incorporate linear operators into the regression for GPflow (or GPytorch/GPy/...)?

score 2532 · Answer 2 · 2024-09-08 20:52:29

GPyTorch, how to set initial value for "lengthscale" hyperparameter?

score 103 · Answer 3 · 2024-09-16 07:12:14

103 views Asked by dpendi At 16 September 2024 at 07:12

score 724 · Answer 4 · 2024-09-08 20:42:32

Partial derivatives of Gaussian Process wrt features

score 52 · Answer 5 · 2024-09-08 20:31:31

52 views Asked by Bikal At 08 September 2024 at 20:31

score 410 · Answer 6 · 2024-09-08 20:58:44

Does Gpytorch use Analytic gradient or Automatic differentiation for training?

score 863 · Answer 7 · 2024-09-08 20:29:27

863 views Asked by BoltzmannBrain At 08 September 2024 at 20:29

score 131 · Answer 8 · 2024-09-08 20:52:27

Pytorch Geometric; RuntimeError: mat1 dim 1 must match mat2 dim 0

score 453 · Answer 9 · 2024-09-08 20:29:26

453 views Asked by SumNeuron At 08 September 2024 at 20:29

score 109 · Answer 10 · 2024-09-08 20:57:44

How to learn one commun Gaussian Process for all the features in gpytorch

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