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missing_sources.html
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<!DOCTYPE html>
<html lang="en">
<title>Missing sources</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">
<script src="custom_themes/html_elements.js"></script>
<link rel="stylesheet" href="dist/reveal.css">
<link rel="stylesheet" href="custom_themes/sussex2.css" id="theme">
<div class="reveal">
<div class="slides">
<div id="background-template">
<footer>
<p>Missing sources
</footer>
</div>
<section>
<h3>Dataset bias</h3>
<ul>
<li><em>Label bias</em> or <em>sampling bias</em> mediated by a special attribute \(s\)
<li>\(s\) is a sensitive attribute or a spurious feature
<ul>
<li>a feature not for prediction
<li>e.g., forbidden for ethical/legal reasons, or just irrelevant
<li>demographic group like race, gender
</ul>
</ul>
</section>
<section>
<h3>Censoring sampling bias</h3>
<ul>
<li>A sampling bias that removes some combinations of \(s\) and \(y\) values
<ul>
<li>low-quality prediction for those \(s\) with missing sources
</ul>
</ul>
<br/>
<br/>
<!-- <img src="assets/residual_unfairness.png" style="width: 65%; border: none"> -->
<img src="images/censoring.png" style="width: 70%; border: none">
</section>
<section>
<h3>Censoring sampling bias</h3>
<ul>
<li>We assume access to a <em>deployment set</em> with all sources present
<li>An invariant representation \(z_y\) is produced via <em>distribution matching</em>
<multi-col>
<one-col style="margin: 0">
<ul style="margin-left: 0">
<li>sets of samples are compared from training and context set
<li>clustering ensures balanced batches
<li>adversary ensures \(z_y\) cannot be used to distinguish training set and deployment set
</ul>
</one-col>
<one-col>
<img src="images/matching_diagram.png">
</one-col>
</multi-col>
</ul>
</section>
<section>
<h3>Censoring sampling bias — Results</h3>
<br/>
<img src="images/cmnist_2v4_partial_acc-min.png" alt="" style="width: 75%">
</section>
</div>
</div>
<script type="module" src="setup.js"></script>