ding functions, which are within epsilon</p></li>
</ul>
</li>
<li><p>can do this on an entire function class (e.g. all neural networks) or on a restricted subset (e.g. path during training)</p></li>
<li><p><a class="reference external" href="https://arxiv.org/pdf/1706.01124.pdf">optimal learning via local entropies and sample compression</a></p></li>
<li><p><a class="reference external" href="https://arxiv.org/pdf/math/0702683.pdf">risk bounds for statistical learning</a></p></li>
<li><p><a class="reference