Fix 08_Advanced_Usage links
@@ -29,6 +29,7 @@ Here we highlight a number of common batch GP scenarios and how to construct the
:maxdepth: 1
:hidden:
+ ../03_Multitask_Exact_GPs/Batch_Independent_Multioutput_GP.ipynb
Simple_Batch_Mode_GP_Regression.ipynb
@@ -47,22 +48,29 @@ See the `1D derivatives GP example`_ or the `2D derivatives GP example`_ for exa
Simple_GP_Regression_Derivative_Information_2d.ipynb
.. _Batch Independent Multioutput GP:
- Batch_Independent_Multioutput_GP.ipynb
+ ../03_Multitask_Exact_GPs/Batch_Independent_Multioutput_GP.ipynb
.. _Batch Mode Regression:
Simple_Batch_Mode_GP_Regression.ipynb
.. _1D derivatives GP example:
- Batch_Independent_Multioutput_GP.ipynb
+ Simple_GP_Regression_Derivative_Information_1d.ipynb
.. _2D derivatives GP example:
- Simple_Batch_Mode_GP_Regression.ipynb:
+ Simple_GP_Regression_Derivative_Information_2d.ipynb
Variational Fantasization
----------------------------------
We also include an example of how to perform fantasy modelling (e.g. efficient, closed form updates) for variational
-Gaussian process models, enabling their usage for lookahead optimization.
+Gaussian process models, enabling their usage for lookahead optimization. See the `Variational fantasization`_ example.
+
+.. toctree::
+ :glob:
+ :maxdepth: 1
+ :hidden:
+
+ SVGP_Model_Updating.ipynb
.. _Variational fantasization:
SVGP_Model_Updating.ipynb
@@ -81,4 +89,3 @@ how to convert both an exact GP and a variational GP to a ScriptModule that can
TorchScript_Exact_Models.ipynb
TorchScript_Variational_Models.ipynb
- SVGP_Model_Updating.ipynb
