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    <p>Hi,</p>
    <p>This is a good seminar to be aware of (and you can join its
      mailing list if you want).</p>
    <p>Best,</p>
    <p>Avi<br>
    </p>
    <p><br>
    </p>
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          <div id="divRplyFwdMsg" dir="ltr"><font style="font-size:11pt"
              face="Calibri, sans-serif" color="#000000"><b>From:</b>
              Amir Ali Ahmadi <a class="moz-txt-link-rfc2396E" href="mailto:aaa@princeton.edu">&lt;aaa@princeton.edu&gt;</a><br>
              <b>Sent:</b> Monday, October 7, 2019 8:34 AM<br>
              <b>To:</b> <a class="moz-txt-link-abbreviated" href="mailto:theory-read@lists.cs.princeton.edu">theory-read@lists.cs.princeton.edu</a>
              <a class="moz-txt-link-rfc2396E" href="mailto:theory-read@lists.cs.princeton.edu">&lt;theory-read@lists.cs.princeton.edu&gt;</a><br>
              <b>Subject:</b> Fw: Joint Princeton
              OptimizationSeminar/CSML Seminar: Thursday, October 10,
              2019 at 4:30pm in Sherrerd Hall 101: Charles Fefferman,
              Princeton University
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                font-variant-caps:inherit"><span style="font-size:18pt;
                  font-family:&quot;Times New Roman&quot;,serif">Joint
                  Princeton Optimization Seminar/CSML Seminar</span></b><br>
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                  <h1 style="margin:12pt 0in 0.0001pt;
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                    </span><b><span style="font-size:14.0pt;
                        font-family:&quot;Times New Roman&quot;,serif;
                        color:windowtext">DATE:                Thursday,
                        October 10th, 2019<br>
                        <br>
                        TIME:                 4:30 pm<br>
                        <br>
                        LOCATION:      Sherrerd Hall 101<br>
                        <br>
                        SPEAKER:         Charles Fefferman, Princeton
                        University   <br>
                        <br>
                        TITLE:   </span></b><b><span
                        style="font-size:14.0pt; font-family:&quot;Times
                        New Roman&quot;,serif; color:#3B3B3B;
                        background:white">Control With Learning On the
                        Fly: First Toy Problems</span></b><span
                      style="font-family:&quot;Times New
                      Roman&quot;,serif"></span></h1>
                  <p style="margin-top: 0px; margin-bottom:
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                    <b><span style="font-size:14.0pt;
                        font-family:&quot;Times New Roman&quot;,serif;
                        color:black">Abstract</span></b><b><span
                        style="font-size:14.0pt; font-family:&quot;Times
                        New Roman&quot;,serif; color:#1F497D">: </span></b><span
                      style="font-size:14.0pt; font-family:&quot;Times
                      New Roman&quot;,serif; color:#3B3B3B">How can we
                      control a system without knowing beforehand what
                      the controls do? In particular, how should we
                      balance the imperatives to "explore" (learn what
                      the controls do) and "exploit"
                    </span><span style="font-size:14.0pt;
                      font-family:&quot;Times New Roman&quot;,serif"><span
                        style="color:#3B3B3B">(use what we've learned so
                        far to make the system do what we want)? We
                        won't have enough data to apply deep learning.
                        The talk poses several toy problems and solves
                        some of them.</span></span><span
                      style="font-family:&quot;Times New
                      Roman&quot;,serif; font-size:14pt;
                      text-indent:0.5in"> </span><span
                      style="font-family:&quot;Times New
                      Roman&quot;,serif; font-size:14pt;
                      text-indent:0.5in; color:rgb(59,59,59)">Joint work
                      with Princeton prof Clancy Rowley and grad
                      students Bernard Guillen, Sam Otto, Amlan Sinha
                      and Melanie Weber.</span></p>
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                    <b><span style="font-size:14.0pt">Short <span
                          style="color:#3B3B3B">Bio</span> (provided by
                        the speaker)<span style="color:#3B3B3B">:
                        </span> </span></b><span
                      style="font-size:14.0pt; color:#3B3B3B;
                      background:white">Charles Fefferman is a professor
                      in the Math Department of Princeton University.</span><b><span
                        style="font-size:14.0pt; color:#3B3B3B"> 
                      </span></b><span style="font-size:14.0pt;
                      color:#3B3B3B"> </span><span
                      style="font-size:14.0pt; color:#1F497D">
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                    <b><span style="font-size:14.0pt">Bio (provided by
                        the seminar organizers):</span></b><span
                      style="font-size:14.0pt">                     
                      <span style="color:black"><a
                          href="https://en.wikipedia.org/wiki/Charles_Fefferman"
                          moz-do-not-send="true">https://en.wikipedia.org/wiki/Charles_Fefferman</a> 
                      </span></span></p>
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