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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 347 · 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/...)?

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

score 2584 · 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 162 · Answer 3 · 2025-01-03 07:54:38

importing likelihoods fails

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

score 775 · Answer 4 · 2025-01-03 08:06:54

Partial derivatives of Gaussian Process wrt features

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

score 105 · Answer 5 · 2025-01-03 07:58:45

Prediction with GPytorch DeepGP was poor

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

score 464 · Answer 6 · 2025-01-03 08:18:38

Does Gpytorch use Analytic gradient or Automatic differentiation for training?

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

score 914 · Answer 7 · 2025-01-03 07:57:10

PyTorch v1.3 with GPU on Google Colab?

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

score 183 · Answer 8 · 2025-01-05 00:09:21

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

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

score 505 · Answer 9 · 2025-01-03 07:57:10

PyTorch Move Nested Modules to GPU?

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

score 163 · Answer 10 · 2025-01-03 08:18:06

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

163 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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