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<i>Department of Computer Science Seminar</i>
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<div><span><b>Amin Karbasi </b></span></div>
<div><b>Associate Professor, Electrical Engineering, Computer Science and Statistics & Data Science</b></div>
<div><b>Yale University</b></div>
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<div><b>Thursday, February 23rd </b></div>
<div><b>2:00pm - 3:00pm</b></div>
<div><b>In Person: John Crerar Library 390</b></div>
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<div><b>Zoom:</b></div>
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<div><b><a href="https://uchicagogroup.zoom.us/j/91972158516?pwd=dmRseXIzSnpXMHB4bGZlZHRITUZidz09">https://uchicagogroup.zoom.us/j/91972158516?pwd=dmRseXIzSnpXMHB4bGZlZHRITUZidz09</a></b></div>
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<div><b>Meeting ID: 919 7215 8516</b></div>
<div><b>Passcode: 765781</b></div>
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<div><b>Title: Statistical Limits of (Interactive) Learning</b></div>
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<div><b>Abstract:</b></div>
<div><span style="caret-color: rgb(51, 51, 51); color: rgb(51, 51, 51); font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;">Consider the task of learning an unknown concept from a given concept class; to what extent does interacting with a domain
expert accelerate the learning process? It turns out the answer is hidden in a better understanding of the infinite two-player games and who has a winning strategy. So, if you like game theory and statistical learning, then this talk is for you. </span></div>
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<div><b>Bio:</b></div>
<div><span style="color: rgb(51, 51, 51);">Amin Karbasi is currently an associate professor of Electrical Engineering, Computer Science, and Statistics & Data Science at Yale University. He is also a staff scientist at Google NY. He has been the recipient of
the National Science Foundation (NSF) Career Award, Office of Naval Research (ONR) Young Investigator Award, Air Force Office of Scientific Research (AFOSR) Young Investigator Award, DARPA Young Faculty Award, National Academy of Engineering Grainger Award,
Amazon Research Award, Nokia Bell-Labs Award, Google Faculty Research Award, Microsoft Azure Research Award, Simons Research Fellowship, and ETH Research Fellowship. His work has also been recognized with a number of paper awards, including </span><span style="color: rgb(40, 40, 40);">Graphs
in Biomedical Image Analysis (GRAIL),</span><span style="color: rgb(51, 51, 51);"> Medical Image Computing and Computer Assisted Interventions Conference (MICCAI), International Conference on Artificial Intelligence and Statistics (AISTATS), IEEE ComSoc Data
Storage, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), ACM SIGMETRICS, and IEEE International Symposium on Information Theory (ISIT). His Ph.D. thesis received the Patrick Denantes Memorial Prize from the School of Computer
and Communication Sciences at EPFL, Switzerland.</span></div>
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<div><img id="<0DD4C99E-57C6-4ED9-909C-330BCB40FC5B>" src="cid:DEE0DA9C-EA5B-4F1B-AFE4-B5A43F56688E" alt="43331F94-B3F5-4984-BE16-91850A699604_4_5005_c.jpeg" apple-inline="yes" class="Apple-web-attachment" style="opacity: 1;"></div>
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<div>----</div>
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<div>Holly Santos<br>
Executive Assistant to Michael J. Franklin, Chairman<br>
Department of Computer Science<br>
The University of Chicago<br>
5730 S Ellis Ave-217 Chicago, IL 60637<br>
P: 773-834-8977<br>
hsantos@uchicago.edu<br>
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