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px; margin-left: 0px;" class=""><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif; color:rgba(0, 0, 0, 1.0);" class=""><b class="">Date: </b></span><span style="font-family: -webkit-system-font, Helvetica Neue, Helvetica, sans-serif;" class="">March 8, 2021 at 9:36:06 AM CST<br class=""></span></div><div style="margin-top: 0px; margin-right: 0px; margin-bottom: 0px; margin-left: 0px;" class=""><br class=""></div><br class=""><div class="">
  

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                                        <div class="moz-forward-container"><br class=""><p class="MsoNormal" style="text-align:center" align="center"><font class="" face="Calisto MT"><span style="font-size:18.0pt;mso-bidi-font-size:12.0pt;font-family:"Calisto
                                                MT",serif" class="">Department
                                                of Statistics</span></font></p>
                                          <br class="">
                                          <div align="center" class=""><font class="" face="Calisto MT"><span style="font-size:18.0pt;mso-bidi-font-size:16.0pt;font-family:"Calisto
                                                MT",serif;
                                                font-variant:small-caps" class="">STATISTICS
                                                COLLOQUIUM</span></font><br class="">
                                            <i class=""><font class="" face="Calisto MT"><span style="font-size:18.0pt;mso-bidi-font-size:16.0pt;font-family:"Calisto
                                                  MT",serif;
                                                  font-variant:small-caps" class="">Joint
                                                  Colloquium with the
                                                  Department of Computer
                                                  Science </span></font></i><br class="">
                                            <font class="" face="Calisto
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                                          <br class=""><p class="MsoNormal" style="margin-bottom:12.0pt;text-align:center;
                                            tab-stops:right 427.5pt" align="center"><span class=""><font class="" size="+2" face="Calisto
                                                MT"><span class=""><a moz-do-not-send="true" href="https://www.princeton.edu/~zy6/" class=""><font size="+1" class=""><b class="">ZHUORAN YANG</b></font></a><br class="">
                                                </span></font></span></p>
                                          <br class="">
                                          <div align="center" class=""><font class="" face="Calisto MT"><b class=""><span class="">Department
                                                  of Operations Research
                                                  and Financial
                                                  Engineering </span></b></font><br class="">
                                            <font class="" face="Calisto
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                                                  University</span></b></font><br class="">
                                            <font class="" face="Calisto
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                                            427.5pt" align="center"><a moz-do-not-send="true" href="https://d3qi0qp55mx5f5.cloudfront.net/stat/docs/Statistics_Colloquium/2020-21/Yang__Zhuoran030821.pdf?mtime=1614628899" class=""><font size="+1" face="Calisto
                                                MT" class="">"Demystifying (Deep)
                                                Reinforcement Learning:
                                                The Pessimist, The
                                                Optimist, and Their
                                                Provable Efficiency"</font></a><font class="" size="+2" face="Calisto MT"><span class=""><br class="">
                                              </span></font></p><p class="MsoNormal" style="text-align:center;tab-stops:right
                                            427.5pt" align="center"> <font class="" face="Calisto MT"><font color="#ff0000" class=""><b class=""><span class=""><u class=""><font class=""><span style="font-size:16.0pt;font-family:"Calisto
MT",serif" class="">TODAY </span></font></u></span></b><b class=""><span style="font-size:16.0pt;font-family:"Calisto
                                                    MT",serif" class="">at 2:00 PM</span></b></font><span style="font-size:16.0pt;font-family:"Calisto MT",serif" class=""></span></font></p><p class="MsoNormal" style="text-align:center;tab-stops:right
                                            427.5pt" align="center"> <font class="" size="-2" face="Calisto MT"><span style="font-size:14.0pt;mso-bidi-font-size:12.0pt;font-family:"Calisto
                                                MT",serif" class=""><b class="">Join
                                                  Zoom Meeting</b><br class="">
                                                <a href="https://urldefense.com/v3/__https://uchicago.zoom.us/j/93076670208?pwd=alp2K1JiVEtkbS8vcGg4S1VzaTUvdz09__;!!BpyFHLRN4TMTrA!tsnAFilDy4qLn8a91zhCZUwwO6Vmh67CoV1RspCXXLsfMTmSLY6PMarwEw298NGdH-Sqj-0$" moz-do-not-send="true" class="">https://uchicago.zoom.us/j/93076670208?pwd=alp2K1JiVEtkbS8vcGg4S1VzaTUvdz09</a><br class="">
                                                <br class="">
                                                <b class="">Meeting ID: </b>930
                                                7667 0208<br class="">
                                                <b class="">Passcode:</b> BH0HsC</span></font></p><p class="MsoNormal" style="text-align:center;tab-stops:right
                                            427.5pt" align="center"> <font class="" size="-2" face="Calisto MT"><span style="font-size:14.0pt;mso-bidi-font-size:12.0pt;font-family:"Calisto
                                                MT",serif" class="">One
                                                tap mobile<br class="">
+13126266799,,93076670208#,,,,*814131# US (Chicago)<br class="">
+13017158592,,93076670208#,,,,*814131# US (Washington DC)</span></font></p>
                                          <div align="center" class=""><u class=""><b class=""><br class="">
                                              </b></u> </div>
                                          <u class=""><b class=""> </b></u><font class="" size="-2" face="Calisto MT"><span style="font-size:14.0pt;mso-bidi-font-size:12.0pt;font-family:"Calisto
                                              MT",serif" class=""><u class=""><b class="">Zhuoran's
                                                  Bio</b></u></span></font></div>
                                        <div class="moz-forward-container"><font class="" size="-2" face="Calisto MT"><span style="font-size:14.0pt;mso-bidi-font-size:12.0pt;font-family:"Calisto
                                              MT",serif" class=""></span></font><font class="" size="-2" face="Calisto MT"><span style="font-size:14.0pt;mso-bidi-font-size:12.0pt;font-family:"Calisto
                                              MT",serif" class="">Zhuoran
                                              Yang is a final-year Ph.D.
                                              student in the Department
                                              of Operations Research and
                                              Financial Engineering at
                                              Princeton University,
                                              advised by Professor
                                              Jianqing Fan and Professor
                                              Han Liu. Before attending
                                              Princeton, He obtained a
                                              Bachelor of Mathematics
                                              degree from Tsinghua
                                              University. His research
                                              interests lie in the
                                              interface between machine
                                              learning, statistics, and
                                              optimization. The primary
                                              goal of his research is to
                                              design a new generation of
                                              machine learning
                                              algorithms for large-scale
                                              and multi-agent
                                              decision-making problems,
                                              with both statistical and
                                              computational guarantees.
                                              Besides, he is also
                                              interested in the
                                              application of
                                              learning-based
                                              decision-making algorithms
                                              to real-world problems
                                              that arise in robotics,
                                              personalized medicine, and
                                              computational social
                                              science. </span></font><br class="">
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        <pre class="moz-signature" cols="72">-- 
Jonathan Rodriguez
Department Secretary

University of Chicago
Department of Statistics
5747 South Ellis Avenue, Jo 222
Chicago, IL 60637

<a class="moz-txt-link-abbreviated" href="mailto:jgrodriguez@galton.uchicago.edu" moz-do-not-send="true">jgrodriguez@galton.uchicago.edu</a>

PH:  (773) 702-8333
FAX: (773) 702-9810</pre>
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