 only a subset of the coefficients, also need to send <span class="math notranslate nohighlight">\(L(i_1, ..., i_k)\)</span> for the indexes of the non-zero coefficients</p></li>
</ul>
</li>
<li><p>minimization becomes <span class="math notranslate nohighlight">\(\underset p \min \quad [\underset{\text{noise}}{- \log P(y^n|x^n; \hat{\theta}_{OLS})} + \underset{\text{learnable info}}{(p/2) \log n}]\)</span></p>
<ul>
<li><p><em>noise</em> - no more info can be extracted with this class of models</p></li>
<li>