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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 296 · Answer 1 · 2025-01-03 08:23:08

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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/...)?

296 views Asked by Laurensium At 03 January 2025 at 08:23

score 2541 · Answer 2 · 2025-01-03 08:13:44

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

2.5k views Asked by Mohammad At 03 January 2025 at 08:13

score 116 · Answer 3 · 2025-01-03 07:54:38

importing likelihoods fails

116 views Asked by dpendi At 03 January 2025 at 07:54

score 732 · Answer 4 · 2025-01-03 08:06:54

Partial derivatives of Gaussian Process wrt features

732 views Asked by MichalK At 03 January 2025 at 08:06

score 64 · Answer 5 · 2025-01-03 07:58:45

Prediction with GPytorch DeepGP was poor

64 views Asked by Bikal At 03 January 2025 at 07:58

score 422 · Answer 6 · 2025-01-03 08:18:38

Does Gpytorch use Analytic gradient or Automatic differentiation for training?

422 views Asked by Mehdi Shishehbor At 03 January 2025 at 08:18

score 875 · Answer 7 · 2025-01-03 07:57:10

PyTorch v1.3 with GPU on Google Colab?

875 views Asked by BoltzmannBrain At 03 January 2025 at 07:57

score 144 · Answer 8 · 2025-01-05 00:09:21

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

144 views Asked by Carlo Amodeo At 05 January 2025 at 00:09

score 464 · Answer 9 · 2025-01-03 07:57:10

PyTorch Move Nested Modules to GPU?

464 views Asked by SumNeuron At 03 January 2025 at 07:57

score 122 · Answer 10 · 2025-01-03 08:18:06

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

122 views Asked by Samia jilali At 03 January 2025 at 08:18

TechQA.

List Question

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

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

importing likelihoods fails

Partial derivatives of Gaussian Process wrt features

Prediction with GPytorch DeepGP was poor

Does Gpytorch use Analytic gradient or Automatic differentiation for training?

PyTorch v1.3 with GPU on Google Colab?

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

PyTorch Move Nested Modules to GPU?

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

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