<div dir="ltr"><div dir="ltr"><div class="gmail_default" style="font-size:small"><div class="gmail_default" style="color:rgb(80,0,80)"><div class="gmail_default"><div class="gmail_default"><span style="font-family:arial,sans-serif;font-weight:bold">When:</span><b style="font-family:arial,sans-serif"> </b><font face="arial, sans-serif">Wednesday, February 9th at </font><b style="background-color:rgb(255,255,0)"><font face="tahoma, sans-serif">10:30 am CT</font></b><br></div><div class="gmail_default"><b><font face="arial, sans-serif"><br></font></b></div><div class="gmail_default"><font face="arial, sans-serif"><b>Where: </b><font color="#000000">Talk will be given</font><font color="#500050"> </font><font color="#0000ff" style="font-weight:bold"><u>live, in-person</u></font><font color="#0000ff" style="font-weight:bold"> </font><font color="#000000">at</font></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="arial, sans-serif"><font color="#500050"> </font><font color="#000000"> TTIC, 6045 S. Kenwood Avenue</font></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 face="arial, sans-serif" color="#000000"> 5th Floor, Room 530<b> </b></font></p><div class="gmail_default"><font style="color:rgb(0,0,0);vertical-align:inherit"><font face="arial, sans-serif" style="vertical-align:inherit"><b><br></b></font></font></div><div class="gmail_default"><font face="arial, sans-serif"><font style="color:rgb(0,0,0);vertical-align:inherit"><font style="vertical-align:inherit"><b>Virtually:</b> </font></font><font color="#000000">Zoom Virtual Talk (</font><font color="#0000ff"><b><a href="https://uchicagogroup.zoom.us/webinar/register/WN_TCSBgaLhSiWe2B23x4VnPQ" target="_blank">register in advance here</a></b></font><font color="#000000">)</font><br></font></div><div class="gmail_default"><div class="gmail_default"><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="arial, sans-serif"><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="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><font color="#000000"><b>Who: </b> </font><font color="#500050"> </font></font></font>Chara Podimata, Harvard University</font></p></div></div></div><font face="arial, sans-serif"><br></font></div><div class="gmail_default" style="color:rgb(80,0,80)"><font face="arial, sans-serif"><br></font></div><div class="gmail_default" style="color:rgb(80,0,80)"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif"><b>Title</b>: Incentive-Aware Machine Learning for Decision Making</font></span></p><font face="arial, sans-serif"><br></font><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif"><b>Abstract</b>: As machine learning algorithms are increasingly being deployed for consequential decision making (e.g., loan approvals, college admissions, probation decisions etc.) humans are trying to strategically change the data they feed to these algorithms in an effort to obtain better decisions for themselves. If the deployed algorithms do not take these incentives into account they risk creating policy decisions that are incompatible with the original policy’s goal. </font></span></p><font face="arial, sans-serif"><br></font><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif">In this talk, I will give an overview of my work on Incentive-Aware Machine Learning for Decision Making, which studies the effects of strategic behavior both to institutions and society as a whole and proposes ways to robustify machine learning algorithms to strategic individuals. I will first explain the goals of the different stakeholders (institution, individual, society) in these settings in a unified way and show the various settings I have worked on that belong in the incentive-aware machine learning area such as incentive-compatible algorithms for linear regression and online prediction with expert advice, strategic classification, learning in auctions, and dynamic pricing. I will conclude by looking at the problem from a societal lens and discuss the tension that arises between having decision-making algorithms that are fully transparent and incentive-aware. </font></span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif"><br></font></span></p><div class="gmail_default"><font face="arial, sans-serif"><b>Bio</b>: <span style="color:black;font-variant-caps:inherit;white-space:pre-wrap">Chara is a final year PhD student at Harvard, where she is advised by Yiling Chen. Her research is generously supported by a Microsoft Dissertation Grant and a Siebel Scholarship. During her PhD, she interned twice for MSR NYC (mentored by Jennifer Wortman Vaughan and Aleksandrs Slivkins) and once for Google Research NYC (mentored by Renato Paes Leme). She has given tutorials related to strategic learning at EC20 and FAccT21. Outside of research, she spends her time adventuring with her pup, Terra.</span></font></div><div class="gmail_default"><span style="color:black;font-variant-caps:inherit;white-space:pre-wrap"><font face="arial, sans-serif"><br></font></span></div><div class="gmail_default"><span style="color:black;font-variant-caps:inherit;white-space:pre-wrap"><font face="arial, sans-serif"><b>Host:</b> <a href="mailto:avrim@ttic.edu" target="_blank"><b>Avrim Blum</b></a></font></span></div></div></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><span style="font-family:arial,helvetica,sans-serif;font-size:x-small">Mary C. Marre</span><br></div><div><div><font face="arial, helvetica, sans-serif" size="1">Faculty Administrative Support</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1">6045 S. Kenwood Avenue</font></i></div><div><font size="1"><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL 60637</font></i><br></font></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif" size="1">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Wed, Feb 9, 2022 at 9:42 AM Mary Marre <<a href="mailto:mmarre@ttic.edu">mmarre@ttic.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div dir="ltr"><div style="font-size:small"><div><div><div><span style="font-family:arial,sans-serif;font-weight:bold">When:</span><b style="font-family:arial,sans-serif"> </b><font face="arial, sans-serif">Wednesday, February 9th at </font><b style="background-color:rgb(255,255,0)"><font face="tahoma, sans-serif">10:30 am CT</font></b><br></div><div><b><font face="arial, sans-serif"><br></font></b></div><div><font face="arial, sans-serif"><b>Where: </b><font color="#000000">Talk will be given</font><font color="#500050"> </font><font color="#0000ff" style="font-weight:bold"><u>live, in-person</u></font><font color="#0000ff" style="font-weight:bold"> </font><font color="#000000">at</font></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="arial, sans-serif"><font color="#500050"> </font><font color="#000000"> TTIC, 6045 S. Kenwood Avenue</font></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 face="arial, sans-serif" color="#000000"> 5th Floor, Room 530<b> </b></font></p><div><font style="color:rgb(0,0,0);vertical-align:inherit"><font face="arial, sans-serif" style="vertical-align:inherit"><b><br></b></font></font></div><div><font face="arial, sans-serif"><font style="color:rgb(0,0,0);vertical-align:inherit"><font style="vertical-align:inherit"><b>Virtually:</b> </font></font><font color="#000000">Zoom Virtual Talk (</font><font color="#0000ff"><b><a href="https://uchicagogroup.zoom.us/webinar/register/WN_TCSBgaLhSiWe2B23x4VnPQ" target="_blank">register in advance here</a></b></font><font color="#000000">)</font><br></font></div><div><div><p class="MsoNormal" style="margin:0in 0in 0.0001pt;color:rgb(80,0,80);line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><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="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><font color="#000000"><b>Who: </b> </font><font color="#500050"> </font></font></font>Chara Podimata, Harvard University</font></p></div></div></div><font face="arial, sans-serif"><br></font></div><div><font face="arial, sans-serif"><br></font></div><div><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif"><b>Title</b>: Incentive-Aware Machine Learning for Decision Making</font></span></p><font face="arial, sans-serif"><br></font><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif"><b>Abstract</b>: As machine learning algorithms are increasingly being deployed for consequential decision making (e.g., loan approvals, college admissions, probation decisions etc.) humans are trying to strategically change the data they feed to these algorithms in an effort to obtain better decisions for themselves. If the deployed algorithms do not take these incentives into account they risk creating policy decisions that are incompatible with the original policy’s goal. </font></span></p><font face="arial, sans-serif"><br></font><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif">In this talk, I will give an overview of my work on Incentive-Aware Machine Learning for Decision Making, which studies the effects of strategic behavior both to institutions and society as a whole and proposes ways to robustify machine learning algorithms to strategic individuals. I will first explain the goals of the different stakeholders (institution, individual, society) in these settings in a unified way and show the various settings I have worked on that belong in the incentive-aware machine learning area such as incentive-compatible algorithms for linear regression and online prediction with expert advice, strategic classification, learning in auctions, and dynamic pricing. I will conclude by looking at the problem from a societal lens and discuss the tension that arises between having decision-making algorithms that are fully transparent and incentive-aware. </font></span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif"><br></font></span></p><div><font face="arial, sans-serif"><b>Bio</b>: <span style="color:black;font-variant-caps:inherit;white-space:pre-wrap">Chara is a final year PhD student at Harvard, where she is advised by Yiling Chen. Her research is generously supported by a Microsoft Dissertation Grant and a Siebel Scholarship. During her PhD, she interned twice for MSR NYC (mentored by Jennifer Wortman Vaughan and Aleksandrs Slivkins) and once for Google Research NYC (mentored by Renato Paes Leme). She has given tutorials related to strategic learning at EC20 and FAccT21. Outside of research, she spends her time adventuring with her pup, Terra.</span></font></div><div><span style="color:black;font-variant-caps:inherit;white-space:pre-wrap"><font face="arial, sans-serif"><br></font></span></div><div><span style="color:black;font-variant-caps:inherit;white-space:pre-wrap"><font face="arial, sans-serif"><b>Host:</b> <a href="mailto:avrim@ttic.edu" target="_blank"><b>Avrim Blum</b></a></font></span></div><div><span style="color:black;font-variant-caps:inherit;white-space:pre-wrap"><br></span></div><div><br></div><div><br></div></div></div><div><div dir="ltr"><div dir="ltr"><div><span style="font-family:arial,helvetica,sans-serif;font-size:x-small">Mary C. Marre</span><br></div><div><div><font face="arial, helvetica, sans-serif" size="1">Faculty Administrative Support</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1">6045 S. Kenwood Avenue</font></i></div><div><font size="1"><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL 60637</font></i><br></font></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif" size="1">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Tue, Feb 8, 2022 at 4:29 PM Mary Marre <<a href="mailto:mmarre@ttic.edu" target="_blank">mmarre@ttic.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div dir="ltr"><div style="font-size:small"><div><div><div><span style="font-family:arial,sans-serif;font-weight:bold">When:</span><b style="font-family:arial,sans-serif"> </b><font face="arial, sans-serif">Wednesday, February 9th at </font><b style="background-color:rgb(255,255,0)"><font face="tahoma, sans-serif">10:30 am CT</font></b><br></div><div><b><font face="arial, sans-serif"><br></font></b></div><div><font face="arial, sans-serif"><b>Where: </b><font color="#000000">Talk will be given</font><font color="#500050"> </font><font color="#0000ff" style="font-weight:bold"><u>live, in-person</u></font><font color="#0000ff" style="font-weight:bold"> </font><font color="#000000">at</font></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="arial, sans-serif"><font color="#500050"> </font><font color="#000000"> TTIC, 6045 S. Kenwood Avenue</font></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 face="arial, sans-serif" color="#000000"> 5th Floor, Room 530<b> </b></font></p><div><font style="color:rgb(0,0,0);vertical-align:inherit"><font face="arial, sans-serif" style="vertical-align:inherit"><b><br></b></font></font></div><div><font face="arial, sans-serif"><font style="color:rgb(0,0,0);vertical-align:inherit"><font style="vertical-align:inherit"><b>Virtually:</b> </font></font><font color="#000000">Zoom Virtual Talk (</font><font color="#0000ff"><b><a href="https://uchicagogroup.zoom.us/webinar/register/WN_TCSBgaLhSiWe2B23x4VnPQ" target="_blank">register in advance here</a></b></font><font color="#000000">)</font><br></font></div><div><div><p class="MsoNormal" style="margin:0in 0in 0.0001pt;color:rgb(80,0,80);line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><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="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><font color="#000000"><b>Who: </b> </font><font color="#500050"> </font></font></font><span>Chara</span> Podimata, Harvard University</font></p></div></div></div><font face="arial, sans-serif"><br></font></div><div><font face="arial, sans-serif"><br></font></div><div><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif"><b>Title</b>: Incentive-Aware Machine Learning for Decision Making</font></span></p><font face="arial, sans-serif"><br></font><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif"><b>Abstract</b>: As machine learning algorithms are increasingly being deployed for consequential decision making (e.g., loan approvals, college admissions, probation decisions etc.) humans are trying to strategically change the data they feed to these algorithms in an effort to obtain better decisions for themselves. If the deployed algorithms do not take these incentives into account they risk creating policy decisions that are incompatible with the original policy’s goal. </font></span></p><font face="arial, sans-serif"><br></font><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif">In this talk, I will give an overview of my work on Incentive-Aware Machine Learning for Decision Making, which studies the effects of strategic behavior both to institutions and society as a whole and proposes ways to robustify machine learning algorithms to strategic individuals. I will first explain the goals of the different stakeholders (institution, individual, society) in these settings in a unified way and show the various settings I have worked on that belong in the incentive-aware machine learning area such as incentive-compatible algorithms for linear regression and online prediction with expert advice, strategic classification, learning in auctions, and dynamic pricing. I will conclude by looking at the problem from a societal lens and discuss the tension that arises between having decision-making algorithms that are fully transparent and incentive-aware. </font></span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif"><br></font></span></p><div><font face="arial, sans-serif"><b>Bio</b>: <span style="color:black;font-variant-caps:inherit;white-space:pre-wrap"><span>Chara</span> is a final year PhD student at Harvard, where she is advised by Yiling Chen. Her research is generously supported by a Microsoft Dissertation Grant and a Siebel Scholarship. During her PhD, she interned twice for MSR NYC (mentored by Jennifer Wortman Vaughan and Aleksandrs Slivkins) and once for Google Research NYC (mentored by Renato Paes Leme). She has given tutorials related to strategic learning at EC20 and FAccT21. Outside of research, she spends her time adventuring with her pup, Terra.</span></font></div><div><span style="color:black;font-variant-caps:inherit;white-space:pre-wrap"><font face="arial, sans-serif"><br></font></span></div><div><span style="color:black;font-variant-caps:inherit;white-space:pre-wrap"><font face="arial, sans-serif"><b>Host:</b> <a href="mailto:avrim@ttic.edu" target="_blank"><b>Avrim Blum</b></a></font></span></div><br></div><div><br></div></div><div><div dir="ltr"><div dir="ltr"><div><span style="font-family:arial,helvetica,sans-serif;font-size:x-small">Mary C. Marre</span><br></div><div><div><font face="arial, helvetica, sans-serif" size="1">Faculty Administrative Support</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1">6045 S. Kenwood Avenue</font></i></div><div><font size="1"><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL 60637</font></i><br></font></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif" size="1">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Wed, Feb 2, 2022 at 8:57 PM Mary Marre <<a href="mailto:mmarre@ttic.edu" target="_blank">mmarre@ttic.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div><div><div><span style="font-family:arial,sans-serif;font-weight:bold">When:</span><b style="font-family:arial,sans-serif"> </b><font face="arial, sans-serif">Wednesday, February 9th at </font><b style="background-color:rgb(255,255,0)"><font face="tahoma, sans-serif">10:30 am CT</font></b><br></div><div><b><font face="arial, sans-serif"><br></font></b></div><div><font face="arial, sans-serif"><b>Where: </b><font color="#000000">Talk will be given</font><font color="#500050"> </font><font color="#0000ff" style="font-weight:bold"><u>live, in-person</u></font><font color="#0000ff" style="font-weight:bold"> </font><font color="#000000">at</font></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="arial, sans-serif"><font color="#500050"> </font><font color="#000000"> TTIC, 6045 S. Kenwood Avenue</font></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 face="arial, sans-serif" color="#000000"> 5th Floor, Room 530<b> </b></font></p><div><font style="color:rgb(0,0,0);vertical-align:inherit"><font face="arial, sans-serif" style="vertical-align:inherit"><b><br></b></font></font></div><div><font face="arial, sans-serif"><font style="color:rgb(0,0,0);vertical-align:inherit"><font style="vertical-align:inherit"><b>Virtually:</b> </font></font><font color="#000000">Zoom Virtual Talk (</font><font color="#0000ff"><b><a href="https://uchicagogroup.zoom.us/webinar/register/WN_TCSBgaLhSiWe2B23x4VnPQ" target="_blank">register in advance here</a></b></font><font color="#000000">)</font><br></font></div><div><div><p class="MsoNormal" style="margin:0in 0in 0.0001pt;color:rgb(80,0,80);line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><font face="arial, sans-serif"><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="arial, sans-serif"><font style="vertical-align:inherit"><font style="vertical-align:inherit"><font color="#000000"><b>Who: </b> </font><font color="#500050"> </font></font></font>Chara Podimata, Harvard University</font></p></div></div></div><font face="arial, sans-serif"><br></font></div><div><font face="arial, sans-serif"><br></font></div><div><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif"><b>Title</b>: Incentive-Aware Machine Learning for Decision Making</font></span></p><font face="arial, sans-serif"><br></font><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif"><b>Abstract</b>: As machine learning algorithms are increasingly being deployed for consequential decision making (e.g., loan approvals, college admissions, probation decisions etc.) humans are trying to strategically change the data they feed to these algorithms in an effort to obtain better decisions for themselves. If the deployed algorithms do not take these incentives into account they risk creating policy decisions that are incompatible with the original policy’s goal. </font></span></p><font face="arial, sans-serif"><br></font><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif">In this talk, I will give an overview of my work on Incentive-Aware Machine Learning for Decision Making, which studies the effects of strategic behavior both to institutions and society as a whole and proposes ways to robustify machine learning algorithms to strategic individuals. I will first explain the goals of the different stakeholders (institution, individual, society) in these settings in a unified way and show the various settings I have worked on that belong in the incentive-aware machine learning area such as incentive-compatible algorithms for linear regression and online prediction with expert advice, strategic classification, learning in auctions, and dynamic pricing. I will conclude by looking at the problem from a societal lens and discuss the tension that arises between having decision-making algorithms that are fully transparent and incentive-aware. </font></span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><font face="arial, sans-serif"><br></font></span></p><div><font face="arial, sans-serif"><b>Bio</b>: <span style="color:black;font-variant-caps:inherit;white-space:pre-wrap"><span>Chara</span> is a final year PhD student at Harvard, where she is advised by Yiling Chen. Her research is generously supported by a Microsoft Dissertation Grant and a Siebel Scholarship. During her PhD, she interned twice for MSR NYC (mentored by Jennifer Wortman Vaughan and Aleksandrs Slivkins) and once for Google Research NYC (mentored by Renato Paes Leme). She has given tutorials related to strategic learning at EC20 and FAccT21. Outside of research, she spends her time adventuring with her pup, Terra.</span></font></div><div><span style="color:black;font-variant-caps:inherit;white-space:pre-wrap"><font face="arial, sans-serif"><br></font></span></div><div><span style="color:black;font-variant-caps:inherit;white-space:pre-wrap"><font face="arial, sans-serif"><b>Host:</b> <a href="mailto:avrim@ttic.edu" target="_blank"><b>Avrim Blum</b></a></font></span></div><div><span style="color:black;font-variant-caps:inherit;white-space:pre-wrap"><br></span></div><div><span style="color:black;font-variant-caps:inherit;white-space:pre-wrap"><br></span></div><div><span style="color:black;font-variant-caps:inherit;white-space:pre-wrap"><br></span></div><br></div><div><div dir="ltr"><div dir="ltr"><div><span style="font-family:arial,helvetica,sans-serif;font-size:x-small">Mary C. Marre</span><br></div><div><div><font face="arial, helvetica, sans-serif" size="1">Faculty Administrative Support</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6" size="1">6045 S. Kenwood Avenue</font></i></div><div><font size="1"><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL 60637</font></i><br></font></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif" size="1">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div>
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