<div dir="ltr"><br><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">---------- Forwarded message ---------<br>From: <strong class="gmail_sendername" dir="auto">Hau, Emily</strong> <span dir="auto"><<a href="mailto:emily.hau@yale.edu">emily.hau@yale.edu</a>></span><br>Date: Mon, Dec 5, 2022 at 12:46 PM<br>Subject: [FDS] 12/7: John Langford (Microsoft Research New York)<br>To: <a href="mailto:fds-announce@mailman.yale.edu">fds-announce@mailman.yale.edu</a> <<a href="mailto:fds-announce@mailman.yale.edu">fds-announce@mailman.yale.edu</a>>, <a href="mailto:yins@mailman.yale.edu">yins@mailman.yale.edu</a> <<a href="mailto:yins@mailman.yale.edu">yins@mailman.yale.edu</a>><br></div><br><br><div class="msg-120063376168821877">
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<p class="MsoNormal"><b><span style="font-size:14.0pt">Wednesday, December 7, 2022 - 4:00pm
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<p class="MsoNormal"><b>FDS Seminar “Discovering an Agent’s Configuration Space”
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<p class="MsoNormal"><b>Speaker: John Langford</b> <br>
Microsoft Research New York <u></u><u></u></p>
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<p class="MsoNormal"><b>Location:</b> DL220, 10 Hillhouse Avenue New Haven, CT or
<a href="https://yale.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=1a9628bf-c5c4-4830-948b-af420136ee87" target="_blank">
Webcast</a><u></u><u></u></p>
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<p class="MsoNormal"><b>Abstract:</b> Given potentially very rich and redundant sensory information which an agent receives, can the agent discover a configuration space summarizing all the configurations it can achieve in an environment? In 2-d free space
this could be x,y,theta, but in environments with walls, movable objects, and other agents how can this be done? I’ll discuss a basic principle, theory, and experimental results suggesting this may be viable for _all_ agents with relatively few environment
interactions. <u></u><u></u></p>
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<p class="MsoNormal"><b>Speaker bio:</b> John Langford is a computer scientist working in machine learning and learning theory, a field that he says “is shifting from an academic discipline to an industrial tool”.
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<p class="MsoNormal">He is well known for work on the Isomap embedding algorithm, CAPTCHA challenges, Cover Trees for nearest neighbor search, Contextual Bandits (which he coined) for reinforcement learning applications, and learning reductions.
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<p class="MsoNormal">John is the author of the blog <a href="http://hunch.net" target="_blank">hunch.net</a> and the principal developer of Vowpal Wabbit. He works at Microsoft Research New York, of which he was one of the founding members, and was previously affiliated with Yahoo! Research, Toyota Technological
Institute at Chicago, and IBM’s Watson Research Center. He studied Physics and Computer Science at the California Institute of Technology, earning a double bachelor’s degree in 1997, and he received his Ph.D. in Computer Science from Carnegie Mellon University
in the year of 2002. <u></u><u></u></p>
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<p class="MsoNormal">John was the program co-chair for the 2012 International Conference on Machine Learning (ICML), general chair for the 2016 ICML, and is the President of ICML from 2019–2021.
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<p class="MsoNormal">Website: <a href="https://hunch.net/~jl/" target="_blank">https://hunch.net/~jl/</a>
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<p class="MsoNormal"><b><span style="font-size:14.0pt">Thursday, December 8, 2022 – 7:00pm<u></u><u></u></span></b></p>
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<p class="MsoNormal"><b>The Jackson School of Global Affairs will host the discussion, “Artificial Intelligence and Diplomacy.”
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<p class="MsoNormal">Speakers include Defense Advanced Research Projects Agency (DARPA) Program Manager Tejas Patel, and Ambassador David Robinson, moderated by Jackson lecturer Casey King.
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<p class="MsoNormal"><b>Location:</b> Horchow Hall 103 (GM Room) 55 Hillhouse Avenue New Haven CT 06511<u></u><u></u></p>
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<p class="MsoNormal">Patel is DARPA’s Program Manager for SHADE: an AI research initiative using diplomacy to better understand the nuance of communication intent behind actions. Robinson is a retired U.S. diplomat whose previous roles include the Principal
Deputy High Representative in Bosnia and Herzegovina, where he was responsible for implementing the Dayton Peace Agreement. Prior to that, he was the Assistant Chief of Mission at the United States Embassy in Kabul, Afghanistan from 2013 to 2014, the Principal
Deputy Assistant Secretary of State and the Deputy Assistant Secretary of State in the Bureau of Population, Refugees and Migration from 2009 to 2013, and the Special Coordinator for Venezuela in the Bureau of Western Hemisphere Affairs from 2008 to 2009.
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<p class="MsoNormal">The panel will be moderated by Casey King, a 2021 DARPA AI Exploration Award Recipient and a Jackson School faculty member who teaches stats and data science. The event is open to the Yale campus community (Faculty, Graduate and Professional,
Staff, Students, Undergraduate, Yale Postdoctoral Trainees). <a href="https://jackson.yale.edu/jackson-events/artificial-intelligence-and-diplomacy/" target="_blank">
https://jackson.yale.edu/jackson-events/artificial-intelligence-and-diplomacy/</a>
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<p class="MsoNormal"><b><span style="font-size:14.0pt">Upcoming:<u></u><u></u></span></b></p>
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<p class="MsoNormal">12/13@2pm: <a href="http://evt.to/aiihaadow" target="_blank">Data Science Project Match</a><u></u><u></u></p>
<p class="MsoNormal">12/14@4pm: <a href="http://evt.to/aiusmoeaw" target="_blank">FDS Seminar, Robert Schapire</a> (Microsoft Research New York), “Convex Analysis at Infinity: An Introduction to Astral Space”<u></u><u></u></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;color:black">Emily E. H. Hau | Associate Director, Data Science @ Yale University<u></u><u></u></span></p>
<p class="MsoNormal"><b><i><span style="font-size:10.0pt;color:#4472c4">Yale Institute for Foundations of Data Science (FDS)</span></i></b><span style="font-size:10.0pt;color:black"><u></u><u></u></span></p>
<p class="MsoNormal"><b><i><span style="font-size:10.0pt;color:#4472c4">Yale Institute for Network Science (YINS)</span></i></b><span style="font-size:10.0pt;color:black"><u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;color:black">17 Hillhouse Avenue | Room 341 | New Haven, CT 06511<u></u><u></u></span></p>
<p class="MsoNormal"><u><span lang="PT-BR" style="font-size:10.0pt;color:#0563c1"><a href="mailto:emily.hau@yale.edu" title="mailto:emily.hau@yale.edu" target="_blank"><span style="color:#0563c1">emily.hau@yale.edu</span></a> | </span></u><span lang="PT-BR" style="font-size:10.0pt;color:black">P:
203-436-4732 </span><span style="font-size:10.0pt;color:black"><u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;color:black">@yaledatascience @YINSedge @EmilyDeeganHau<u></u><u></u></span></p>
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