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Upgrade to MathJax v3 (replaces retired cdn.mathjax.org) #38

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1d38628
Replace retired cdn.mathjax.org with jsdelivr CDN
May 5, 2026
a0638ce
Upgrade MathJax v2 -> v3 and unwrap kramdown's math/tex script tags
May 5, 2026
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42 changes: 41 additions & 1 deletion _includes/head.html
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Expand Up @@ -16,7 +16,47 @@
{% endif %}
<!-- Load up MathJax script if needed ... specify in /_data/options.yml file-->
{% if site.data.options.mathjax %}
<script type="text/javascript" src="//cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script>
<script>
window.MathJax = {
startup: {
pageReady: function () {
document.querySelectorAll('script[type^="math/tex"]').forEach(function (el) {
var display = el.type.indexOf('mode=display') >= 0;
var node = document.createElement(display ? 'div' : 'span');
node.textContent = display ? '\\[' + el.textContent + '\\]' : '\\(' + el.textContent + '\\)';
el.parentNode.replaceChild(node, el);
});
return MathJax.startup.defaultPageReady();
}
},
tex: {
inlineMath: [['$', '$'], ['\\(', '\\)']],
displayMath: [['$$', '$$'], ['\\[', '\\]']],
processEscapes: true,
macros: {
e: "\\epsilon",
xti: "x^{(i)}",
yti: "y^{(i)}",
bfy: "{\\bf y}",
bfx: "{\\bf x}",
bfg: "{\\bf g}",
bfbeta: "{\\bf \\beta}",
tp: "\\tilde p",
pt: "p_\\theta",
Exp: "{\\mathbb{E}}",
Ind: "{\\mathbb{I}}",
KL: "{\\mathbb{KL}}",
Dc: "{\\mathcal{D}}",
Tc: "{\\mathcal{T}}",
Xc: "{\\mathcal{X}}",
note: ["\\textcolor{blue}{[NOTE: #1]}", 1]
},
packages: {'[+]': ['color']}
},
loader: {load: ['[tex]/color']}
};
</script>
<script type="text/javascript" id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
{% endif %}

<script>
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26 changes: 0 additions & 26 deletions _layouts/post.html
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Expand Up @@ -5,31 +5,5 @@ <h1>{{ page.title | capitalize }}</h1>
<p class="subtitle">{{ page.date | date: "%B %-d, %Y" }}</p>


<script type="text/x-mathjax-config">
MathJax.Hub.Config({
TeX: {
Macros: {
e: "\\epsilon",
xti: "x^{(i)}",
yti: "y^{(i)}",
bfy: "{\\bf y}",
bfx: "{\\bf x}",
bfg: "{\\bf g}",
bfbeta: "{\\bf \\beta}",
tp: "\\tilde p",
pt: "p_\\theta",
Exp: "{\\mathbb{E}}",
Ind: "{\\mathbb{I}}",
KL: "{\\mathbb{KL}}",
Dc: "{\\mathcal{D}}",
Tc: "{\\mathcal{T}}",
Xc: "{\\mathcal{X}}",
note: ["\\textcolor{blue}{[NOTE: #1]}",1]
}
}
});
</script>


{{ content }}

68 changes: 41 additions & 27 deletions docs/autoregressive/index.html
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Expand Up @@ -18,7 +18,47 @@

<!-- Load up MathJax script if needed ... specify in /_data/options.yml file-->

<script type="text/javascript" src="//cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script>
<script>
window.MathJax = {
startup: {
pageReady: function () {
document.querySelectorAll('script[type^="math/tex"]').forEach(function (el) {
var display = el.type.indexOf('mode=display') >= 0;
var node = document.createElement(display ? 'div' : 'span');
node.textContent = display ? '\\[' + el.textContent + '\\]' : '\\(' + el.textContent + '\\)';
el.parentNode.replaceChild(node, el);
});
return MathJax.startup.defaultPageReady();
}
},
tex: {
inlineMath: [['$', '$'], ['\\(', '\\)']],
displayMath: [['$$', '$$'], ['\\[', '\\]']],
processEscapes: true,
macros: {
e: "\\epsilon",
xti: "x^{(i)}",
yti: "y^{(i)}",
bfy: "{\\bf y}",
bfx: "{\\bf x}",
bfg: "{\\bf g}",
bfbeta: "{\\bf \\beta}",
tp: "\\tilde p",
pt: "p_\\theta",
Exp: "{\\mathbb{E}}",
Ind: "{\\mathbb{I}}",
KL: "{\\mathbb{KL}}",
Dc: "{\\mathcal{D}}",
Tc: "{\\mathcal{T}}",
Xc: "{\\mathcal{X}}",
note: ["\\textcolor{blue}{[NOTE: #1]}", 1]
},
packages: {'[+]': ['color']}
},
loader: {load: ['[tex]/color']}
};
</script>
<script type="text/javascript" id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>


<script>
Expand Down Expand Up @@ -51,32 +91,6 @@ <h1>Autoregressive models</h1>
<p class="subtitle"></p>


<script type="text/x-mathjax-config">
MathJax.Hub.Config({
TeX: {
Macros: {
e: "\\epsilon",
xti: "x^{(i)}",
yti: "y^{(i)}",
bfy: "{\\bf y}",
bfx: "{\\bf x}",
bfg: "{\\bf g}",
bfbeta: "{\\bf \\beta}",
tp: "\\tilde p",
pt: "p_\\theta",
Exp: "{\\mathbb{E}}",
Ind: "{\\mathbb{I}}",
KL: "{\\mathbb{KL}}",
Dc: "{\\mathcal{D}}",
Tc: "{\\mathcal{T}}",
Xc: "{\\mathcal{X}}",
note: ["\\textcolor{blue}{[NOTE: #1]}",1]
}
}
});
</script>


<p>We begin our study into generative modeling with autoregressive models. As before, we assume we are given access to a dataset <script type="math/tex">\mathcal{D}</script> of <script type="math/tex">n</script>-dimensional datapoints <script type="math/tex">\mathbf{x}</script>. For simplicity, we assume the datapoints are binary, i.e., <script type="math/tex">\mathbf{x} \in \{0,1\}^n</script>.</p>

<h1 id="representation">Representation</h1>
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68 changes: 41 additions & 27 deletions docs/flow/index.html
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Expand Up @@ -18,7 +18,47 @@

<!-- Load up MathJax script if needed ... specify in /_data/options.yml file-->

<script type="text/javascript" src="//cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script>
<script>
window.MathJax = {
startup: {
pageReady: function () {
document.querySelectorAll('script[type^="math/tex"]').forEach(function (el) {
var display = el.type.indexOf('mode=display') >= 0;
var node = document.createElement(display ? 'div' : 'span');
node.textContent = display ? '\\[' + el.textContent + '\\]' : '\\(' + el.textContent + '\\)';
el.parentNode.replaceChild(node, el);
});
return MathJax.startup.defaultPageReady();
}
},
tex: {
inlineMath: [['$', '$'], ['\\(', '\\)']],
displayMath: [['$$', '$$'], ['\\[', '\\]']],
processEscapes: true,
macros: {
e: "\\epsilon",
xti: "x^{(i)}",
yti: "y^{(i)}",
bfy: "{\\bf y}",
bfx: "{\\bf x}",
bfg: "{\\bf g}",
bfbeta: "{\\bf \\beta}",
tp: "\\tilde p",
pt: "p_\\theta",
Exp: "{\\mathbb{E}}",
Ind: "{\\mathbb{I}}",
KL: "{\\mathbb{KL}}",
Dc: "{\\mathcal{D}}",
Tc: "{\\mathcal{T}}",
Xc: "{\\mathcal{X}}",
note: ["\\textcolor{blue}{[NOTE: #1]}", 1]
},
packages: {'[+]': ['color']}
},
loader: {load: ['[tex]/color']}
};
</script>
<script type="text/javascript" id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>


<script>
Expand Down Expand Up @@ -51,32 +91,6 @@ <h1>Normalizing flow models</h1>
<p class="subtitle"></p>


<script type="text/x-mathjax-config">
MathJax.Hub.Config({
TeX: {
Macros: {
e: "\\epsilon",
xti: "x^{(i)}",
yti: "y^{(i)}",
bfy: "{\\bf y}",
bfx: "{\\bf x}",
bfg: "{\\bf g}",
bfbeta: "{\\bf \\beta}",
tp: "\\tilde p",
pt: "p_\\theta",
Exp: "{\\mathbb{E}}",
Ind: "{\\mathbb{I}}",
KL: "{\\mathbb{KL}}",
Dc: "{\\mathcal{D}}",
Tc: "{\\mathcal{T}}",
Xc: "{\\mathcal{X}}",
note: ["\\textcolor{blue}{[NOTE: #1]}",1]
}
}
});
</script>


<p>We continue our study over another type of likelihood based generative models. As before, we assume we are given access to a dataset <script type="math/tex">\mathcal{D}</script> of <script type="math/tex">n</script>-dimensional datapoints <script type="math/tex">\mathbf{x}</script>. So far we have learned two types of likelihood based generative models:</p>

<ol>
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68 changes: 41 additions & 27 deletions docs/gan/index.html
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Expand Up @@ -18,7 +18,47 @@

<!-- Load up MathJax script if needed ... specify in /_data/options.yml file-->

<script type="text/javascript" src="//cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script>
<script>
window.MathJax = {
startup: {
pageReady: function () {
document.querySelectorAll('script[type^="math/tex"]').forEach(function (el) {
var display = el.type.indexOf('mode=display') >= 0;
var node = document.createElement(display ? 'div' : 'span');
node.textContent = display ? '\\[' + el.textContent + '\\]' : '\\(' + el.textContent + '\\)';
el.parentNode.replaceChild(node, el);
});
return MathJax.startup.defaultPageReady();
}
},
tex: {
inlineMath: [['$', '$'], ['\\(', '\\)']],
displayMath: [['$$', '$$'], ['\\[', '\\]']],
processEscapes: true,
macros: {
e: "\\epsilon",
xti: "x^{(i)}",
yti: "y^{(i)}",
bfy: "{\\bf y}",
bfx: "{\\bf x}",
bfg: "{\\bf g}",
bfbeta: "{\\bf \\beta}",
tp: "\\tilde p",
pt: "p_\\theta",
Exp: "{\\mathbb{E}}",
Ind: "{\\mathbb{I}}",
KL: "{\\mathbb{KL}}",
Dc: "{\\mathcal{D}}",
Tc: "{\\mathcal{T}}",
Xc: "{\\mathcal{X}}",
note: ["\\textcolor{blue}{[NOTE: #1]}", 1]
},
packages: {'[+]': ['color']}
},
loader: {load: ['[tex]/color']}
};
</script>
<script type="text/javascript" id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>


<script>
Expand Down Expand Up @@ -51,32 +91,6 @@ <h1>Generative adversarial networks</h1>
<p class="subtitle"></p>


<script type="text/x-mathjax-config">
MathJax.Hub.Config({
TeX: {
Macros: {
e: "\\epsilon",
xti: "x^{(i)}",
yti: "y^{(i)}",
bfy: "{\\bf y}",
bfx: "{\\bf x}",
bfg: "{\\bf g}",
bfbeta: "{\\bf \\beta}",
tp: "\\tilde p",
pt: "p_\\theta",
Exp: "{\\mathbb{E}}",
Ind: "{\\mathbb{I}}",
KL: "{\\mathbb{KL}}",
Dc: "{\\mathcal{D}}",
Tc: "{\\mathcal{T}}",
Xc: "{\\mathcal{X}}",
note: ["\\textcolor{blue}{[NOTE: #1]}",1]
}
}
});
</script>


<p>We now move onto another family of generative models called generative adversarial networks (GANs). GANs are unique from all the other model families that we have seen so far, such as autoregressive models, VAEs, and normalizing flow models, because we do not train them using maximum likelihood.</p>

<h1 id="likelihood-free-learning">Likelihood-free learning</h1>
Expand Down
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