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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72" style='word-wrap:break-word'><div class=WordSection1><p class=MsoNormal style='background:white'><span style='color:black'><a href="https://statistics.yale.edu/" title="Department of Statistics and Data Science "><span style='font-size:22.0pt;font-family:"Arial",sans-serif;color:#286DC0;text-decoration:none'><img border=0 width=150 height=49 style='width:1.5625in;height:.5104in' id=logo src="cid:image001.jpg@01D93FAD.C1CB5280" alt="Department of Statistics and Data Science "></span></a></span><span style='font-family:"Arial",sans-serif;color:black'>   <a href="https://statistics.yale.edu/" title=Home><b><span style='font-size:22.0pt;color:#286DC0'>Department of Statistics and Data Science </span></b></a></span><b><i><u><span style='font-size:22.0pt;font-family:"Arial",sans-serif;color:#286DC0'> <o:p></o:p></span></u></i></b></p><p style='margin:0in'><strong><span style='font-family:"Arial",sans-serif;font-weight:normal'>In-Person seminars will be held at Mason Lab 211, 9 Hillhouse Avenue with the option of virtual participation (</span></strong><span style='font-family:"Arial",sans-serif;color:#2F5597;mso-style-textfill-fill-color:#2F5597;mso-style-textfill-fill-alpha:100.0%'><a href="https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f8b73c34-a27b-42a7-a073-af2d00f90ffa"><span style='color:#2F5597;mso-style-textfill-fill-color:#2F5597;mso-style-textfill-fill-alpha:100.0%;text-decoration:none'>https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f8b73c34-a27b-42a7-a073-af2d00f90ffa</span></a></span><span style='font-family:"Arial",sans-serif'>)<o:p></o:p></span></p><p class=MsoNormal style='box-sizing: inherit'><strong><span style='font-family:"Arial",sans-serif;font-weight:normal'><a href="https://0.0.0.10/"><b><span style='color:windowtext;text-decoration:none'>3:30pm</span></b></a></span></strong><strong><span style='font-family:"Arial",sans-serif'> -   Pre-talk meet and greet teatime - Dana House, 24 Hillhouse Avenue </span></strong><strong><span style='font-family:"Calibri",sans-serif'><o:p></o:p></span></strong></p><h1 style='margin:0in'><span style='font-size:14.0pt;font-family:"Arial",sans-serif'>Sinho Chewi, </span><span class=odd><span style='font-size:14.0pt;font-family:"Arial",sans-serif'>MIT</span></span><span style='font-size:14.0pt;font-family:"Arial",sans-serif'><o:p></o:p></span></h1><p class=MsoNormal><!--[if gte vml 1]><v:shapetype id="_x0000_t75" coordsize="21600,21600" o:spt="75" o:preferrelative="t" path="m@4@5l@4@11@9@11@9@5xe" filled="f" stroked="f">
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</v:shape><![endif]--><![if !vml]><img width=116 height=139 style='width:1.2083in;height:1.4479in' src="cid:image004.jpg@01D93FC5.E1CEBD70" align=left hspace=12 v:shapes="Picture_x0020_3"><![endif]><span style='font-family:"Arial",sans-serif'><o:p></o:p></span></p><p class=MsoNormal><span class=date-display-single><span style='font-size:13.5pt;font-family:"Arial",sans-serif'>Date: Wednesday, February 15, 2023<o:p></o:p></span></span></p><p class=MsoNormal><span class=date-display-single><span style='font-size:13.5pt;font-family:"Arial",sans-serif'>Time: </span></span><span class=date-display-start><span style='font-size:13.5pt;font-family:"Arial",sans-serif'>4:00PM</span></span><span class=date-display-range><span style='font-size:13.5pt;font-family:"Arial",sans-serif'> to </span></span><span class=date-display-end><span style='font-size:13.5pt;font-family:"Arial",sans-serif'>5:00PM</span></span><span style='font-size:13.5pt;font-family:"Arial",sans-serif'><o:p></o:p></span></p><p class=MsoNormal><span class=fn><span style='font-family:"Arial",sans-serif'>Mason Lab 211</span></span><span style='font-family:"Arial",sans-serif'> </span><span class=map-icon><span style='font-size:10.0pt;font-family:"Arial",sans-serif;letter-spacing:.6pt'><a href="http://maps.google.com/?q=9+Hillhouse+Ave%2C+New+Haven%2C+CT%2C+06511%2C+us"><span style='color:windowtext'>see map</span></a> </span></span><span style='font-family:"Arial",sans-serif'><o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'>9 Hillhouse Ave<o:p></o:p></span></p><p class=MsoNormal><span class=locality><span style='font-family:"Arial",sans-serif'>New Haven</span></span><span style='font-family:"Arial",sans-serif'>, <span class=region>CT</span> <span class=postal-code>06511</span><o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'><a href="https://chewisinho.github.io/"><span style='font-size:12.0pt;color:#003C76'>Website</span></a></span><b><span style='font-size:15.0pt;font-family:"Arial",sans-serif'> <o:p></o:p></span></b></p><p class=MsoNormal><b><span style='font-size:15.0pt;font-family:"Arial",sans-serif'><o:p> </o:p></span></b></p><p class=MsoNormal><b><span style='font-size:15.0pt;font-family:"Arial",sans-serif'>Title: Towards a theory of complexity of sampling, inspired by optimization<o:p></o:p></span></b></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'><o:p> </o:p></span></p><p class=MsoNormal><b><span style='font-family:"Arial",sans-serif'>Information and Abstract: <o:p></o:p></span></b></p><p style='margin:0in;box-sizing: inherit'><span style='font-family:"Arial",sans-serif'>Sampling is a fundamental and widespread algorithmic primitive that lies at the heart of Bayesian inference and scientific computing, among other disciplines. Recent years have seen a flood of works aimed at laying down the theoretical underpinnings of sampling, in analogy to the fruitful and widely used theory of convex optimization. In this talk, I will discuss some of my work in this area, focusing on new convergence guarantees obtained via a proximal algorithm for sampling, as well as a new framework for studying the complexity of non-log-concave sampling.<o:p></o:p></span></p><p style='margin:0in;box-sizing: inherit'><strong><span style='font-family:"Arial",sans-serif'><o:p> </o:p></span></strong></p><p style='margin:0in'><strong><span style='font-family:"Arial",sans-serif;font-weight:normal'>In-Person seminars will be held at Mason Lab 211, 9 Hillhouse Avenue with the option of virtual participation (</span></strong><b><span style='font-family:"Arial",sans-serif'><a href="https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f8b73c34-a27b-42a7-a073-af2d00f90ffa"><span style='color:windowtext;text-decoration:none'>https://yale.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx?folderID=f8b73c34-a27b-42a7-a073-af2d00f90ffa</span></a>)<o:p></o:p></span></b></p><p style='margin:0in;box-sizing: inherit'><strong><span style='font-family:"Arial",sans-serif'><a href="https://0.0.0.10/"><span style='color:windowtext;font-weight:normal;text-decoration:none'>3:30pm</span></a></span></strong><strong><span style='font-family:"Arial",sans-serif;font-weight:normal'> -   Pre-talk meet and greet teatime - Dana House, 24 Hillhouse Avenue<i> </i></span></strong><b><span style='font-family:"Arial",sans-serif'><o:p></o:p></span></b></p><h2 style='margin:0in;box-sizing: inherit;font-feature-settings: "kern", "liga", "dlig"'><span style='font-family:"Arial",sans-serif;font-weight:normal'><o:p> </o:p></span></h2><p class=MsoNormal style='background:white;vertical-align:baseline'><span style='font-size:12.0pt;font-family:"Arial",sans-serif;color:black;mso-fareast-language:JA'>For more details and upcoming events visit our website at <a href="http://statistics.yale.edu/" target="_blank"><span style='color:#0563C1'>http://statistics.yale.edu/</span></a> .</span><span style='font-size:12.0p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