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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 285 · Answer 1 · 2020-11-23 11:54:24

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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/...)?

285 views Asked by Laurensium At 23 November 2020 at 11:54

score 2529 · Answer 2 · 2020-12-16 02:40:16

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

2.5k views Asked by Mohammad At 16 December 2020 at 02:40

score 99 · Answer 3 · 2021-04-20 16:06:45

importing likelihoods fails

99 views Asked by dpendi At 20 April 2021 at 16:06

score 722 · Answer 4 · 2020-09-05 10:50:44

Partial derivatives of Gaussian Process wrt features

722 views Asked by MichalK At 05 September 2020 at 10:50

score 50 · Answer 5 · 2023-01-21 06:55:10

Prediction with GPytorch DeepGP was poor

50 views Asked by Bikal At 21 January 2023 at 06:55

score 406 · Answer 6 · 2022-03-17 20:31:09

Does Gpytorch use Analytic gradient or Automatic differentiation for training?

406 views Asked by Mehdi Shishehbor At 17 March 2022 at 20:31

score 861 · Answer 7 · 2019-10-20 14:22:50

PyTorch v1.3 with GPU on Google Colab?

861 views Asked by BoltzmannBrain At 20 October 2019 at 14:22

score 127 · Answer 8 · 2021-09-20 23:51:03

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

127 views Asked by Carlo Amodeo At 20 September 2021 at 23:51

score 448 · Answer 9 · 2021-10-11 18:02:02

PyTorch Move Nested Modules to GPU?

448 views Asked by SumNeuron At 11 October 2021 at 18:02

score 107 · Answer 10 · 2021-06-11 22:26:39

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

107 views Asked by Samia jilali At 11 June 2021 at 22:26

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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