<div dir="ltr"><div dir="ltr"><div class="gmail_default" style="font-size:small"><div class="gmail_default"><div class="gmail_default"><span style="color:rgb(80,0,80)"><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>When:</b> </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit"><font style="color:rgb(0,0,0)"> Friday, January 26</font><span class="gmail_default" style="color:rgb(0,0,0)">, 2024</span><font style="color:rgb(0,0,0)"> at</font><b style="color:rgb(0,0,0)"> <u style="background-color:rgb(255,255,0)">11:00</u></b><span style="background-color:rgb(255,255,0)"><b><u><font color="#000000"> a</font></u></b><b><u><font color="#000000">m CT</font></u><font color="#000000"> </font></b></span></font></font><br></font></div><div class="gmail_default"><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><b style="font-family:arial,sans-serif"><font color="#500050"><br></font></b></p><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><b style="font-family:arial,sans-serif"><font color="#500050">Where: </font></b><font color="#000000" style="font-family:arial,sans-serif">Talk will be given </font><font color="#000000" style="font-family:arial,sans-serif;font-weight:bold"><u>live, in-person</u></font><font style="font-family:arial,sans-serif;font-weight:bold"> </font><span style="font-family:arial,sans-serif">at</span><br></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"><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><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"><b><span style="color:black"><br></span></b></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"><b style="color:rgb(60,64,67);letter-spacing:0.2px">Virtually:</b><span style="color:rgb(60,64,67);letter-spacing:0.2px"> <i>via </i>Panopto </span>(<b><a href="https://uchicago.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=36342299-8940-4240-815c-b0fd00120def" target="_blank">livestream</a></b><span style="color:rgb(60,64,67);letter-spacing:0.2px">)</span></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"><b style="font-family:georgia,serif;color:rgb(60,64,67);letter-spacing:0.2px"><font size="1"> *limited access: see info below</font></b></p></div></span></div></div><div class="gmail_default"><div class="gmail_default"><span style="color:rgb(80,0,80)"></span><span style="color:rgb(80,0,80)"><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"><span style="color:rgb(60,64,67);letter-spacing:0.2px"><br></span></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 style="font-family:arial,sans-serif;vertical-align:inherit"><font style="vertical-align:inherit"><b>Who: </b> <font color="#500050"> </font><font color="#000000"><font color="#500050"> </font></font></font></font>Dravyansh Sharma, Carnegie Mellon<br></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"><br></font></p><div class="MsoNormal" align="center" style="margin:0in 0in 8pt;text-align:center;line-height:15.6933px"><hr size="2" width="100%" align="center"></div><div><div><font face="arial, sans-serif"><b style="color:rgb(60,64,67)">Title</b><span style="color:rgb(60,64,67)">: Data-driven Algorithm Design and Principled Hyperparameter Tuning in Machine Learning </span><br style="color:rgb(60,64,67)"></font><p style="color:rgb(60,64,67)"><font face="arial, sans-serif"><b>Abstract</b>: For any new machine learning technique, a large body of research often follows up in order to tune the technique to work suitably for each of the numerous application areas, requiring significant scientific and engineering efforts. Moreover, this typically involves unprincipled approaches for hyperparameter selection without any guarantee on global optimality. We develop the recently proposed paradigm of data-driven algorithm design, and show how to tune some core machine learning algorithms with formal near-optimality guarantees in statistical and online learning settings. </font></p><p style="color:rgb(60,64,67)"><font face="arial, sans-serif"> Given multiple problem instances of a learning problem from some problem domain, we develop approaches to learn provably well-tuned parameters over the domain and answer questions related to the number of problem samples needed to learn a well-tuned learning algorithm. More precisely, our approaches apply to the following diverse scenarios: selecting graph hyperparameters in semi-supervised learning, setting regularization coefficients in linear regression, controlling the robustness vs. abstention trade-off in non-Lipschitz networks,meta-learning common parameters for similar tasks, and learning adaptively in changing environments. In addition to providing techniques for tuning fundamental learning algorithms, we also develop tools applicable to data-driven design more generally. </font></p><p style="color:rgb(60,64,67)"><font face="arial, sans-serif"> <b>Speaker bio</b>: Dravyansh (Dravy) Sharma is a final year doctoral student at Carnegie Mellon University, advised by Nina Balcan. His research interests include machine learning theory and algorithms, focusing on provable hyperparameter tuning, adversarial robustness, and beyond worst-case analysis of algorithms. His recent work develops techniques for tuning fundamental machine learning algorithms to domain-specific data and introduces new,powerful robust learning guarantees. He has published several papers at top venues in the field of machine learning, including NeurIPS, ICML, COLT, JMLR, etc.,with multiple papers awarded with Oral presentations, and has interned with Google Research and Microsoft Research.</font></p></div></div><div><div><div><b style="color:rgb(0,0,0);font-family:arial,sans-serif">Host: </b><a href="mailto:Avrim@ttic.edu" target="_blank" style="font-family:arial,sans-serif">Avrim Blum</a><br></div></div></div></div><div class="gmail_default"><br></div></span><div class="gmail_default"><font size="1"><b><font face="arial black, sans-serif" style="color:rgb(0,0,255)">*</font><font face="tahoma, sans-serif"><font color="#0000ff">Access to this livestream is limited to </font><font color="#000000">TTIC / UChicago</font><font color="#0000ff"> (press panopto link and sign in to your UChicago account with </font></font><span style="color:rgb(0,0,255);font-family:tahoma,sans-serif">CNetID</span><font face="tahoma, sans-serif" style="color:rgb(0,0,255)">). </font></b></font></div></div></div></div><div><div dir="ltr" class="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, Rm 517</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><font size="1"><i><font face="arial, helvetica, sans-serif" color="#3d85c6">773-834-1757</font></i></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 Thu, Jan 25, 2024 at 5:02 PM 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><span style="color:rgb(80,0,80)"><div><font face="arial, sans-serif"><font style="color:rgb(0,0,0);vertical-align:inherit"><font style="vertical-align:inherit"><b>When:</b> </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit"><font style="color:rgb(0,0,0)"> Friday, January 26</font><span class="gmail_default" style="color:rgb(0,0,0)">, 2024</span><font style="color:rgb(0,0,0)"> at</font><b style="color:rgb(0,0,0)"> <u style="background-color:rgb(255,255,0)">11:00</u></b><span style="background-color:rgb(255,255,0)"><b><u><font color="#000000"> a</font></u></b><b><u><font color="#000000">m CT</font></u><font color="#000000"> </font></b></span></font></font><br></font></div><div><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><b style="font-family:arial,sans-serif"><font color="#500050"><br></font></b></p><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><b style="font-family:arial,sans-serif"><font color="#500050">Where: </font></b><font color="#000000" style="font-family:arial,sans-serif">Talk will be given </font><font color="#000000" style="font-family:arial,sans-serif;font-weight:bold"><u>live, in-person</u></font><font style="font-family:arial,sans-serif;font-weight:bold"> </font><span style="font-family:arial,sans-serif">at</span><br></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"><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><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"><b><span style="color:black"><br></span></b></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"><b style="color:rgb(60,64,67);letter-spacing:0.2px">Virtually:</b><span style="color:rgb(60,64,67);letter-spacing:0.2px"> <i>via </i>Panopto </span>(<b><a href="https://uchicago.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=36342299-8940-4240-815c-b0fd00120def" target="_blank">livestream</a></b><span style="color:rgb(60,64,67);letter-spacing:0.2px">)</span></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"><b style="font-family:georgia,serif;color:rgb(60,64,67);letter-spacing:0.2px"><font size="1"> *limited access: see info below</font></b></p></div></span></div></div><div><div><span style="color:rgb(80,0,80)"></span><span style="color:rgb(80,0,80)"><div><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"><span style="color:rgb(60,64,67);letter-spacing:0.2px"><br></span></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 style="font-family:arial,sans-serif;vertical-align:inherit"><font style="vertical-align:inherit"><b>Who: </b> <font color="#500050"> </font><font color="#000000"><font color="#500050"> </font></font></font></font>Dravyansh Sharma, Carnegie Mellon<br></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"><br></font></p><div class="MsoNormal" align="center" style="margin:0in 0in 8pt;text-align:center;line-height:15.6933px"><hr size="2" width="100%" align="center"></div><div><div><font face="arial, sans-serif"><b style="color:rgb(60,64,67)">Title</b><span style="color:rgb(60,64,67)">: Data-driven Algorithm Design and Principled Hyperparameter Tuning in Machine Learning </span><br style="color:rgb(60,64,67)"></font><p style="color:rgb(60,64,67)"><font face="arial, sans-serif"><b>Abstract</b>: For any new machine learning technique, a large body of research often follows up in order to tune the technique to work suitably for each of the numerous application areas, requiring significant scientific and engineering efforts. Moreover, this typically involves unprincipled approaches for hyperparameter selection without any guarantee on global optimality. We develop the recently proposed paradigm of data-driven algorithm design, and show how to tune some core machine learning algorithms with formal near-optimality guarantees in statistical and online learning settings. </font></p><p style="color:rgb(60,64,67)"><font face="arial, sans-serif"> Given multiple problem instances of a learning problem from some problem domain, we develop approaches to learn provably well-tuned parameters over the domain and answer questions related to the number of problem samples needed to learn a well-tuned learning algorithm. More precisely, our approaches apply to the following diverse scenarios: selecting graph hyperparameters in semi-supervised learning, setting regularization coefficients in linear regression, controlling the robustness vs. abstention trade-off in non-Lipschitz networks,meta-learning common parameters for similar tasks, and learning adaptively in changing environments. In addition to providing techniques for tuning fundamental learning algorithms, we also develop tools applicable to data-driven design more generally. </font></p><p style="color:rgb(60,64,67)"><font face="arial, sans-serif"> <b>Speaker bio</b>: Dravyansh (Dravy) Sharma is a final year doctoral student at Carnegie Mellon University, advised by Nina Balcan. His research interests include machine learning theory and algorithms, focusing on provable hyperparameter tuning, adversarial robustness, and beyond worst-case analysis of algorithms. His recent work develops techniques for tuning fundamental machine learning algorithms to domain-specific data and introduces new,powerful robust learning guarantees. He has published several papers at top venues in the field of machine learning, including NeurIPS, ICML, COLT, JMLR, etc.,with multiple papers awarded with Oral presentations, and has interned with Google Research and Microsoft Research.</font></p></div></div><div><div><div><b style="color:rgb(0,0,0);font-family:arial,sans-serif">Host: </b><a href="mailto:Avrim@ttic.edu" style="font-family:arial,sans-serif" target="_blank">Avrim Blum</a><br></div></div></div></div><div><br></div></span><div><font size="1"><b><font face="arial black, sans-serif" style="color:rgb(0,0,255)">*</font><font face="tahoma, sans-serif"><font color="#0000ff">Access to this livestream is limited to </font><font color="#000000">TTIC / UChicago</font><font color="#0000ff"> (press panopto link and sign in to your UChicago account with </font></font><span style="color:rgb(0,0,255);font-family:tahoma,sans-serif">CNetID</span><font face="tahoma, sans-serif" style="color:rgb(0,0,255)">). </font></b></font></div></div><div><div dir="ltr"><div dir="ltr"><br></div><div dir="ltr"><br></div></div></div></div></div><div><div dir="ltr" class="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, Rm 517</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><font size="1"><i><font face="arial, helvetica, sans-serif" color="#3d85c6">773-834-1757</font></i></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 Sat, Jan 20, 2024 at 4:53 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><span style="font-size:small;color:rgb(80,0,80)"><div><font face="arial, sans-serif"><font style="color:rgb(0,0,0);vertical-align:inherit"><font style="vertical-align:inherit"><b>When:</b> </font></font><font style="vertical-align:inherit"><font style="vertical-align:inherit"><font style="color:rgb(0,0,0)"> Friday, January 26</font><span class="gmail_default" style="color:rgb(0,0,0)">, 2024</span><font style="color:rgb(0,0,0)"> at</font><b style="color:rgb(0,0,0)"> <u style="background-color:rgb(255,255,0)">11:00</u></b><span style="background-color:rgb(255,255,0)"><b><u><font color="#000000"> a</font></u></b><b><u><font color="#000000">m CT</font></u><font color="#000000"> </font></b></span></font></font><br></font></div><div><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><b style="font-family:arial,sans-serif"><font color="#500050"><br></font></b></p><p style="font-variant-numeric:normal;font-variant-east-asian:normal;font-stretch:normal;line-height:normal;margin:0px"><b style="font-family:arial,sans-serif"><font color="#500050">Where: </font></b><font color="#000000" style="font-family:arial,sans-serif">Talk will be given </font><font color="#000000" style="font-family:arial,sans-serif;font-weight:bold"><u>live, in-person</u></font><font style="font-family:arial,sans-serif;font-weight:bold"> </font><span style="font-family:arial,sans-serif">at</span><br></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"><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><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"><b><span style="color:black"><br></span></b></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"><b style="color:rgb(60,64,67);letter-spacing:0.2px">Virtually:</b><span style="color:rgb(60,64,67);letter-spacing:0.2px"> <i>via </i>Panopto </span>(<b><a href="https://uchicago.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=36342299-8940-4240-815c-b0fd00120def" target="_blank">livestream</a></b><span style="color:rgb(60,64,67);letter-spacing:0.2px">)</span></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"><b style="font-family:georgia,serif;color:rgb(60,64,67);letter-spacing:0.2px"><font size="1"> *limited access: see info below</font></b></p></div></span></div></div><div><div><span style="font-size:small;color:rgb(80,0,80)"></span><span style="color:rgb(80,0,80)"><div><p class="MsoNormal" style="font-size:small;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"><span style="color:rgb(60,64,67);letter-spacing:0.2px"><br></span></font></p><p class="MsoNormal" style="font-size:small;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 style="font-family:arial,sans-serif;vertical-align:inherit"><font style="vertical-align:inherit"><b>Who: </b> <font color="#500050"> </font><font color="#000000"><font color="#500050"> </font></font></font></font>Dravyansh Sharma, Carnegie Mellon<br></p><p class="MsoNormal" style="font-size:small;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><div class="MsoNormal" align="center" style="font-size:small;margin:0in 0in 8pt;text-align:center;line-height:15.6933px"><hr size="2" width="100%" align="center"></div><div><div><span style="background-color:rgb(255,255,255)"><font face="arial, sans-serif"><b style="color:rgb(60,64,67)">Title</b><span style="color:rgb(60,64,67)">: Data-driven Algorithm Design and Principled Hyperparameter Tuning in Machine Learning </span><br style="color:rgb(60,64,67)"></font></span><p style="color:rgb(60,64,67)"><span style="background-color:rgb(255,255,255)"><font face="arial, sans-serif"><b>Abstract</b>: For any new machine learning technique, a large body of research often follows up in order to tune the technique to work suitably for each of the numerous application areas, requiring significant scientific and engineering efforts. Moreover, this typically involves unprincipled approaches for hyperparameter selection without any guarantee on global optimality. We develop the recently proposed paradigm of data-driven algorithm design, and show how to tune some core machine learning algorithms with formal near-optimality guarantees in statistical and online learning settings. </font></span></p><p style="color:rgb(60,64,67)"><span style="background-color:rgb(255,255,255)"><font face="arial, sans-serif"> Given multiple problem instances of a learning problem from some problem domain, we develop approaches to learn provably well-tuned parameters over the domain and answer questions related to the number of problem samples needed to learn a well-tuned learning algorithm. More precisely, our approaches apply to the following diverse scenarios: selecting graph hyperparameters in semi-supervised learning, setting regularization coefficients in linear regression, controlling the robustness vs. abstention trade-off in non-Lipschitz networks,meta-learning common parameters for similar tasks, and learning adaptively in changing environments. In addition to providing techniques for tuning fundamental learning algorithms, we also develop tools applicable to data-driven design more generally. </font></span></p><p style="color:rgb(60,64,67)"><span style="background-color:rgb(255,255,255)"><font face="arial, sans-serif"> <b>Speaker bio</b>: Dravyansh (Dravy) Sharma is a final year doctoral student at Carnegie Mellon University, advised by Nina Balcan. His research interests include machine learning theory and algorithms, focusing on provable hyperparameter tuning, adversarial robustness, and beyond worst-case analysis of algorithms. His recent work develops techniques for tuning fundamental machine learning algorithms to domain-specific data and introduces new,powerful robust learning guarantees. He has published several papers at top venues in the field of machine learning, including NeurIPS, ICML, COLT, JMLR, etc.,with multiple papers awarded with Oral presentations, and has interned with Google Research and Microsoft Research.</font></span></p></div></div><div style="font-size:small"><div><div><span style="background-color:rgb(255,255,255)"><b style="color:rgb(0,0,0);font-family:arial,sans-serif">Host: </b><a href="mailto:Avrim@ttic.edu" style="font-family:arial,sans-serif" target="_blank">Avrim Blum</a></span><br></div></div></div></div><div style="font-size:small"><br></div></span><div><font size="1"><b><font face="arial black, sans-serif" style="color:rgb(0,0,255)">*</font><font face="tahoma, sans-serif"><font color="#0000ff">Access to this livestream is limited to </font><font color="#000000">TTIC / UChicago</font><font color="#0000ff"> (press panopto link and sign in to your UChicago account with </font></font><span style="color:rgb(0,0,255);font-family:tahoma,sans-serif">CNetID</span><font face="tahoma, sans-serif" style="color:rgb(0,0,255)">). </font></b></font></div></div><div><div dir="ltr"><div dir="ltr"><br></div><div dir="ltr"><br></div><div dir="ltr"><br></div><div dir="ltr"><br></div></div></div></div><div><div dir="ltr" class="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, Rm 517</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><font size="1"><i><font face="arial, helvetica, sans-serif" color="#3d85c6">773-834-1757</font></i></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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