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DTSTART:20070311T020000
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BEGIN:VEVENT
DTSTAMP:20231128T152031
DTSTART;TZID=America/Detroit:20231128T160000
DTEND;TZID=America/Detroit:20231128T173000
SUMMARY:Workshop / Seminar:Living Arts Engine
DESCRIPTION:Workshop
UID:114785-21833612@events.umich.edu
URL:https://events.umich.edu/event/114785
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Sessions
LOCATION:Bursley North Campus
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20231117T134139
DTSTART;TZID=America/Detroit:20231128T160000
DTEND;TZID=America/Detroit:20231128T170000
SUMMARY:Workshop / Seminar:Statistics Department Seminar Series: Yun Yang\, Associate Professor\, Department of Statistics\, University of Illinois Urbana-Champaign.
DESCRIPTION:Abstract: The estimation of distributions of complex objects from high-dimensional data with low-dimensional structures is an important topic in statistics and machine learning. Modern generative modeling techniques accomplish this by encoding and decoding data to generate new\, realistic synthetic data objects\, including images and texts. A key aspect of these models is the extraction of low-dimensional latent features\, assuming the data lies on a low-dimensional manifold. Our study develops a minimax framework for distribution estimation on unknown submanifolds\, incorporating smoothness assumptions on both the target distribution and the manifold. Through the perspective of minimax rates\, we examine some existing popular generative models\, such as variational autoencoders\, generative adversarial networks\, and score-based generative models. By analyzing their theoretical properties\, we characterize their statistical capabilities in implicit distribution estimation and identify certain limitations that could lead to potential improvements.\n\nhttps://sites.google.com/site/yunyangstat/
UID:114908-21833774@events.umich.edu
URL:https://events.umich.edu/event/114908
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:seminar
LOCATION:West Hall - 340
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20231213T123113
DTSTART;TZID=America/Detroit:20231128T160000
DTEND;TZID=America/Detroit:20231128T173000
SUMMARY:Careers / Jobs:Technical Interview Overview & Case Workshop + Recruiter Q&A
DESCRIPTION:During this workshop we will walk through and practice the Technical Interview and a Case-Tech Interview example. These examples will beguided by Capital One professionals trained in facilitating the interviewprocess. A recruiter will also be on the call to answer any questions youmay have. This workshop is intended to help candidates prepare for the following Students & Grads roles: Technology Internship Program and the Technology Development Program.\n\n\n\nEvent Agenda:\n\n4:00 - 5:00 EST Technical Interview (30 min) and the Case-Tech (30 min) workshop\n\n\n\n4:30 - 5:30 EST Q&A breakout room with recruiter available
UID:114793-21833624@events.umich.edu
URL:https://events.umich.edu/event/114793
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
LOCATION:
CONTACT:
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