<div dir="ltr"><div class="gmail_default"><div dir="ltr"><div><font face="georgia, serif" color="#000000"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>When:</b>    </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit">    Monday, March 18th at <b style="background-color:rgb(255,255,0)">11:30am CT</b><b> </b></font></font><br></font></div></div><div><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><font color="#000000"><font style="vertical-align:inherit"><font face="georgia, serif" style="vertical-align:inherit"><b><span style="background-color:rgb(255,255,0)"><br></span></b></font></font></font></p><div class="gmail_default"><font face="georgia, serif" color="#000000"><b>Where:       </b>Talk will be given <font style="font-weight:bold"><u>live, in-person</u></font><font style="font-weight:bold"> </font>at</font></div><p class="MsoNormal" style="margin:0in;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="georgia, serif" color="#000000">                       TTIC, 6045 S. Kenwood Avenue</font></p><p class="MsoNormal" style="margin:0in;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font color="#000000" face="georgia, serif">                       5th Floor, Room 530<b> </b></font></p><p class="MsoNormal" style="margin:0in;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><b><font face="georgia, serif" color="#000000"><br></font></b></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="georgia, serif" color="#000000"><b style="letter-spacing:0.2px">Virtually:</b><span style="letter-spacing:0.2px">  via Panopto </span>(<a href="https://uchicago.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=1aa61fc0-f7ff-4627-ada9-b129012db0c3" target="_blank">livestream</a><span style="letter-spacing:0.2px">)</span><br></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="georgia, serif" color="#000000"><br></font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="georgia, serif" color="#000000"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><b>Who: </b>         </font></font>Bruno Loureiro, École Normale Supérieure</font></p><p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"></p><div><p style="letter-spacing:0.2px"><font face="georgia, serif" color="#000000"><span style="letter-spacing:normal"><b>Title:</b>          </span><span style="letter-spacing:normal">Learning features with two-layer neural networks, one step at a time</span></font></p><div><font face="georgia, serif" color="#000000"><b>Abstract:  </b>Feature learning - or the capacity of neural networks to adapt to the data during training - is often quoted as one of the fundamental reasons behind their unreasonable effectiveness. Yet, making mathematical sense of this seemingly clear intuition is still a largely open question. In this talk, I will discuss a simple setting where we can precisely characterise how features are learned by a two-layer neural network during the very first few steps of training, and how these features are essential for the network to efficiently generalise under limited availability of data.</font></div><div><font face="georgia, serif" color="#000000"><br></font></div><div><font face="georgia, serif" color="#000000">Based on the following works: <a href="https://arxiv.org/abs/2305.18270" target="_blank">https://arxiv.org/abs/2305.18270</a>, <a href="https://arxiv.org/abs/2402.04980" target="_blank">https://arxiv.org/abs/2402.04980</a>   <br></font></div><div><font face="georgia, serif" color="#000000"><br></font></div><div><font face="georgia, serif" color="#000000"><b>Short Bio: </b>Bruno Loureiro is a CNRS researcher based at the Centre for Data Science at the École Normale Supérieure in Paris working on the crossroads between machine learning and statistical mechanics.</font></div><div><font face="georgia, serif" color="#000000"><br></font></div></div><div><font face="georgia, serif" color="#000000"><b>Host: <a href="mailto:nati@ttic.edu" target="_blank">Nati Srebro</a></b></font></div></div></div><div><br></div><span class="gmail_signature_prefix">-- </span><br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><b style="background-color:rgb(255,255,255)"><font color="#3d85c6">Brandie Jones </font></b><div><div><div><font color="#3d85c6"><b><i>Executive </i></b></font><b style="color:rgb(61,133,198)"><i>Administrative Assistant</i></b></div></div><div><span style="background-color:rgb(255,255,255)"><font color="#3d85c6">Toyota Technological Institute</font></span></div><div><span style="background-color:rgb(255,255,255)"><font color="#3d85c6">6045 S. Kenwood Avenue</font></span></div><div><span style="background-color:rgb(255,255,255)"><font color="#3d85c6">Chicago, IL  60637</font></span></div></div><div><span style="background-color:rgb(255,255,255)"><font color="#3d85c6"><a href="http://www.ttic.edu" target="_blank">www.ttic.edu</a> </font></span></div></div></div></div>