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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 339 · 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/...)?

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

score 2580 · 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 158 · Answer 3 · 2025-01-03 07:54:38

importing likelihoods fails

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

score 769 · Answer 4 · 2025-01-03 08:06:54

Partial derivatives of Gaussian Process wrt features

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

score 101 · Answer 5 · 2025-01-03 07:58:45

Prediction with GPytorch DeepGP was poor

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

score 461 · Answer 6 · 2025-01-03 08:18:38

Does Gpytorch use Analytic gradient or Automatic differentiation for training?

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

score 908 · Answer 7 · 2025-01-03 07:57:10

PyTorch v1.3 with GPU on Google Colab?

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

score 179 · Answer 8 · 2025-01-05 00:09:21

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

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

score 500 · Answer 9 · 2025-01-03 07:57:10

PyTorch Move Nested Modules to GPU?

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

score 157 · Answer 10 · 2025-01-03 08:18:06

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

157 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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