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diff --git a/site-from-md/blog.html b/site-from-md/blog.html new file mode 100644 index 0000000..e8ab9a1 --- /dev/null +++ b/site-from-md/blog.html @@ -0,0 +1,62 @@ +<!doctype html> +<html lang="en"> + <head> + <meta charset="utf-8"> + <title>Yuchen's Blog</title> + <link rel="stylesheet" href="../assets/css/default.css" /> + <script src="https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML" type="text/javascript"></script> + <script src="../assets/js/analytics.js" type="text/javascript"></script> + </head> + <body> + <header> + <span class="logo"> + <a href="blog.html">Yuchen's Blog</a> + </span> + <nav> + <a href="postlist.html">All posts</a><a href="index.html">About</a><a href="blog-feed.xml">Feed</a> + </nav> + </header> + + <div class="main"> + <div class="bodyitem"> + <a href="posts/2019-03-14-great-but-manageable-expectations.html"><h2> Great but Manageable Expectations </h2></a> + <p>Posted on 2019-03-14</p> + <p>This is Part 2 of a two-part blog post on differential privacy. Continuing from <a href="/posts/2019-03-13-a-tail-of-two-densities.html">Part 1</a>, I discuss the Rényi differential privacy, corresponding to the Rényi divergence, a study of the moment generating functions the divergence between probability measures to derive the tail bounds.</p> + + <a href="posts/2019-03-14-great-but-manageable-expectations.html">Continue reading</a> +</div> +<div class="bodyitem"> + <a href="posts/2019-03-13-a-tail-of-two-densities.html"><h2> A Tail of Two Densities </h2></a> + <p>Posted on 2019-03-13</p> + <p>This is Part 1 of a two-part post where I give an introduction to differential privacy, which is a study of tail bounds of the divergence between probability measures, with the end goal of applying it to stochastic gradient descent.</p> + + <a href="posts/2019-03-13-a-tail-of-two-densities.html">Continue reading</a> +</div> +<div class="bodyitem"> + <a href="posts/2019-02-14-raise-your-elbo.html"><h2> Raise your ELBO </h2></a> + <p>Posted on 2019-02-14</p> + <p>In this post I give an introduction to variational inference, which is about maximising the evidence lower bound (ELBO).</p> + + <a href="posts/2019-02-14-raise-your-elbo.html">Continue reading</a> +</div> +<div class="bodyitem"> + <a href="posts/2019-01-03-discriminant-analysis.html"><h2> Discriminant analysis </h2></a> + <p>Posted on 2019-01-03</p> + <p>In this post I talk about the theory and implementation of linear and quadratic discriminant analysis, classical methods in statistical learning.</p> + + <a href="posts/2019-01-03-discriminant-analysis.html">Continue reading</a> +</div> +<div class="bodyitem"> + <a href="posts/2018-12-02-lime-shapley.html"><h2> Shapley, LIME and SHAP </h2></a> + <p>Posted on 2018-12-02</p> + <p>In this post I explain LIME (Ribeiro et. al. 2016), the Shapley values (Shapley, 1953) and the SHAP values (Strumbelj-Kononenko, 2014; Lundberg-Lee, 2017).</p> + + <a href="posts/2018-12-02-lime-shapley.html">Continue reading</a> +</div> + + <div class="bodyitem"> + <p><a href="postlist.html">older posts</a></p> + </div> + </div> + </body> +</html> |