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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20231214T123125
DTSTART;TZID=America/Detroit:20231129T160000
DTEND;TZID=America/Detroit:20231129T170000
SUMMARY:Careers / Jobs:TE Connectivity: University Relations Virtual Information Session
DESCRIPTION:The University Relations team at TE Connectivity would like toextend an invitation to join us on November 29th from 4:00 – 5:00pm ET for a Virtual Information Session. Learn about the various early-in-careeropportunities TE has to offer\, hear from a panel of current employees (who are previous or current interns)\, and get the chance to win some TE gear!
UID:115317-21834420@events.umich.edu
URL:https://events.umich.edu/event/115317
CLASS:PUBLIC
STATUS:CONFIRMED
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BEGIN:VEVENT
DTSTAMP:20231127T130226
DTSTART;TZID=America/Detroit:20231129T160000
DTEND;TZID=America/Detroit:20231129T170000
SUMMARY:Workshop / Seminar:Time-inconsistent mean-field stopping problems: A regularized equilibrium approach
DESCRIPTION:ABSTRACT: We study the mean-field Markov decision process (MDP) with the centralized stopping under the non-exponential discount. The problem differs fundamentally from most existing studies due to its time-inconsistent natural and also the continuous state space. Unlike many previous studies on time-inconsistent stopping\, we are interested in the general discount function without imposing any structural conditions such as “decreasing impatience”. As a result\, the study on the relaxed equilibrium becomes necessary as the pure-strategy equilibrium may not exist in general. We use the method of regularization to prove the existence of the relaxed equilibrium\, and at the same time provide approximation results of it. We also establish some connections between the mean-field MDP and the N-agent MDP. As a third advantage of the regularization method\, we prove that the regularized equilibrium is an $\epsilon$-equilibrium of N-agent problem when $N$ is sufficiently large and the regularization constant $\lambda$ is sufficiently small.
UID:115522-21834952@events.umich.edu
URL:https://events.umich.edu/event/115522
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20231214T123133
DTSTART;TZID=America/Detroit:20231129T160000
DTEND;TZID=America/Detroit:20231129T170000
SUMMARY:Careers / Jobs:USA - Campus - Get to Know EY: General Information Session & Panel
DESCRIPTION:IMPORTANT: You must register externally on the yello.co page in order to receive the event joining information. You will not be able to join the event directly through Handshake.\n\nCurious about a career at EY? Come join us to learn more about EY\, our service lines\, practices\, and overall culture. This session will start with a general firm overview\, followed by a panel of EY staff from our Assurance\, Tax\, Consulting\, and Strategy and Transactions service lines. EY campus recruiters will closeout with recruiting reminders and resources. We hope to see you there!
UID:115518-21834946@events.umich.edu
URL:https://events.umich.edu/event/115518
CLASS:PUBLIC
STATUS:CONFIRMED
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