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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><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:"Lucida Sans",sans-serif;color:#286DC0;text-decoration:none'><img border=0 width=150 height=49 style='width:1.5625in;height:.5069in' id=logo src="cid:image001.jpg@01D9055F.324FE8B0" alt="Department of Statistics and Data Science
"></span></a> <a href="https://statistics.yale.edu/" title=Home><b><span style='font-size:22.0pt;font-family:"Lucida Sans",sans-serif;color:#286DC0'>Department of Statistics and Data Science </span></b></a></span><b><i><u><span style='font-size:22.0pt;font-family:"Lucida Sans",sans-serif;color:#286DC0'> <o:p></o:p></span></u></i></b></p><p class=MsoNormal><b><i><span style='font-size:14.0pt'>In-Person seminars will be held at Dunham Lab, 10 Hillhouse Ave., Room 220, with an option of remote participation via zoom.</span></i></b><b><i><span style='font-size:14.0pt'><o:p></o:p></span></i></b></p><p class=MsoNormal><b><u><span style='font-size:12.0pt;font-family:"Arial",sans-serif;color:black'><a href="x-apple-data-detectors://10/"><span style='color:black'>3:30pm</span></a> - Pre-talk meet and greet, DL Suite 222, Room 228<o:p></o:p></span></u></b></p><p class=MsoNormal><span style='font-size:15.0pt'><o:p> </o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:15.0pt;font-family:"Verdana",sans-serif;color:#00356B'><a href="https://statistics.yale.edu/seminars/rina-foygel-barber-0"><span style='color:black;text-decoration:none'>Rina Foygel Barber</span></a>, </span><span style='font-size:15.0pt;color:black'>University of Chicago</span><span style='font-size:15.0pt;font-family:"Verdana",sans-serif;color:#00356B'><o:p></o:p></span></p><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=155 height=187 style='width:1.618in;height:1.9444in' src="cid:image003.jpg@01D90561.DD349E40" align=left hspace=12 v:shapes="Picture_x0020_3"><![endif]><span class=date-display-single><span style='font-size:12.0pt;font-family:"Arial",sans-serif;color:#003C76'><o:p></o:p></span></span></p><p class=MsoNormal><span class=date-display-single><b><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>Date</span></b></span><span class=date-display-single><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>: Monday, December 05, 2022<o:p></o:p></span></span></p><p class=MsoNormal><span class=date-display-single><b><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>Time</span></b></span><span class=date-display-single><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>: </span></span><span class=date-display-start><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>4:00PM</span></span><span class=date-display-range><span style='font-size:12.0pt;font-family:"Arial",sans-serif'> to </span></span><span class=date-display-end><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>5:00PM</span></span><span style='font-size:12.0pt;font-family:"Arial",sans-serif'><o:p></o:p></span></p><p class=MsoNormal><span class=date-display-single><b><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>Location</span></b></span><span class=fn><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>: Dunbar Lab. </span></span><span class=map-icon><span style='font-size:12.0pt;font-family:"Arial",sans-serif;letter-spacing:.6pt'><a href="http://maps.google.com/?q=10+Hillhouse+Avenue%2C+Rm.+220%2C+New+Haven%2C+CT%2C+06511%2C+us"><span style='color:#286DC0'>see map</span></a> </span></span><span style='font-size:12.0pt;font-family:"Arial",sans-serif'><o:p></o:p></span></p><p class=MsoNormal><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>10 Hillhouse Avenue, Rm. 220<o:p></o:p></span></p><p class=MsoNormal><span class=locality><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>New Haven</span></span><span style='font-size:12.0pt;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-size:12.0pt;font-family:"Arial",sans-serif'><a href="https://statistics.yale.edu/seminars/rina-foygel-barber-0">https://statistics.yale.edu/seminars/rina-foygel-barber-0</a><o:p></o:p></span></p><p class=MsoNormal><b><span style='font-size:12.0pt;font-family:"Arial",sans-serif'><o:p> </o:p></span></b></p><p class=MsoNormal style='background:white'><b><span style='font-size:12.0pt;font-family:"Arial",sans-serif;color:black'>Zoom Option:</span></b><span style='font-size:12.0pt;font-family:"Arial",sans-serif;color:black'> <a href="https://yale.zoom.us/j/92411077917?pwd=aXhnTnFGRXFoaTVDczNjeFFKeWpTQT09">https://yale.zoom.us/j/92411077917?pwd=aXhnTnFGRXFoaTVDczNjeFFKeWpTQT09</a> / Password: 24</span><o:p></o:p></p><p class=MsoNormal><b><o:p> </o:p></b></p><p class=MsoNormal><b><span style='font-size:15.0pt'>Title: Testing the stability of a black-box algorithm<o:p></o:p></span></b></p><p class=MsoNormal><b><span style='font-size:12.0pt;font-family:"Arial",sans-serif'><o:p> </o:p></span></b></p><p class=MsoNormal><b><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>Information and Abstract: <o:p></o:p></span></b></p><p style='mso-margin-top-alt:0in;margin-right:0in;margin-bottom:12.0pt;margin-left:0in;box-sizing: inherit'><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>Many results on generalization and distribution-free inference depend on the stability of a regression algorithm, which is often defined as the property that predictions on a new test point are not substantially altered by removing a single point at random from the training set. However, this stability property itself is an assumption that may not hold for highly complex predictive algorithms and/or nonsmooth data distributions. In this work we ask whether it is possible to infer the stability of an algorithm through “black-box testing”, where we cannot study the algorithm theoretically but instead try to determine its stability properties by the behavior of the algorithm on various data sets. Our results establish fundamental limits on the stability testing problem in the distribution-free setting.<o:p></o:p></span></p><p style='mso-margin-top-alt:0in;margin-right:0in;margin-bottom:12.0pt;margin-left:0in;box-sizing: inherit'><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>This work is joint with Byol Kim.<o:p></o:p></span></p><p class=MsoNormal><em><b><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>In-Person seminars will be held at Dunham Lab, 10 Hillhouse Ave., Room 220, with an option of remote participation via zoom.</span></b></em><span style='font-size:12.0pt;font-family:"Arial",sans-serif'><o:p></o:p></span></p><p class=MsoNormal><strong><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>Link: </span></strong><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>Join from PC, Mac, Linux, iOS or Android: <a href="https://yale.zoom.us/j/92411077917?pwd=aXhnTnFGRXFoaTVDczNjeFFKeWpTQT09">https://yale.zoom.us/j/92411077917?pwd=aXhnTnFGRXFoaTVDczNjeFFKeWpTQT09</a> <o:p></o:p></span></p><p class=MsoNormal><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>Password: 24<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>Or Telephone</span><span style='font-size:12.0pt;font-family:"MS Gothic"'>：</span><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>203-432-9666 (2-ZOOM if on-campus) or 646 568 7788<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:12.0pt;font-family:"Arial",sans-serif'>Meeting ID: 924 1107 7917<o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><h2 style='margin:0in;box-sizing: inherit;font-feature-settings: "kern", "liga", "dlig"'><span style='font-family:"Georgia",serif;font-weight:normal'>Department of Statistics and Data Science<o:p></o:p></span></h2><p style='margin:0in;box-sizing: inherit'><span style='font-size:9.0pt;color:black'>Yale University<br>24 Hillhouse Avenue<br>New Haven, CT 06511<o:p></o:p></span></p><p style='margin:0in;box-sizing: inherit'><span style='font-size:9.0pt;color:black'>t 203.432.0666<br>f 203.432.0633<o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>