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    <title>Edward on Batı Şengül</title>
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    <description>Recent content in Edward on Batı Şengül</description>
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      <title>Variational inference, the art of approximate sampling</title>
      <link>http://www.batisengul.co.uk/post/variational-inference-the-art-of-approximate-sampling/</link>
      <pubDate>Sat, 21 Jul 2018 00:00:00 +0000</pubDate>
      <author>batisengul@gmail.com</author>
      <guid>http://www.batisengul.co.uk/post/variational-inference-the-art-of-approximate-sampling/</guid>
      <description>In the spirit of looking at fancy word topics, this post is about variational inference. Suppose you granted me one super power and I chose the ability to sample from any distribution in a fast and accurate way. Now, you might think that’s a crappy super-power, but that basically enables me to fit any model I want and provide uncertainty estimates.
To make the problem concrete, lets suppose you are trying to sample from a distribution \(p(x)\).</description>
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