edit IDM

17_GP_priors.ipynb

@@ -444,7 +444,7 @@
         "\n",
         "for any $v \\in \\mathbb{R}^d.$\n",
         "\n",
-        "Kernel functions $k(x, x′)$ encode our prior beliefs about data-generating latent functions. These typically include continuity, smoothness (differentialbility),periodicity, stationarity, and so on.\n",
+        "Kernel functions $k(x, x′)$ encode our prior beliefs about data-generating latent functions. These typically include continuity, smomothness (differentialbility),periodicity, stationarity, and so on.\n",
         "\n",
         "Covariance functions typically have <font color='orange'>hyperparameters</font> that we aim to learn from data.\n",
         "\n",

24_other.ipynb

@@ -0,0 +1,72 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "## Further topics\n",
+        "\n",
+        "This a list of further topics which we cover:\n",
+        "\n",
+        "- Bayesian regularisation from optimisation perspective\n",
+        "- Laplace approximation\n",
+        "- Bayesian optimisation\n",
+        "- Kronecker product\n",
+        "- Log-Gaussia Cox process implementation (LGCP)\n",
+        "- renewal equation\n",
+        "- Hilbert Space Gaussian Porcess approximation (HSGP)\n",
+        "- active learning\n",
+        "- variational autoencoders (VAEs)\n",
+        "\n",
+        "Two more interetsing topic which we don't have time for:\n",
+        "\n",
+        "- Variational inference\n",
+        "- Bayesian neural networks"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": []
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": []
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": []
+    }
+  ],
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.9.7"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}

_toc.yml

@@ -26,4 +26,5 @@ chapters:
 - file: 21_LGCP.ipynb
 - file: 22_ODEs.ipynb
 - file: 23_ID_modelling.ipynb
+- file: 24_other.ipynb
 - file: 999_acknowledgements.md