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PRODID:-//IFDS - ECPv6.0.1.1//NONSGML v1.0//EN
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METHOD:PUBLISH
X-ORIGINAL-URL:https://ifds.info
X-WR-CALDESC:Events for IFDS
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X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20210314T080000
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BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20211107T070000
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210405T133000
DTEND;TZID=America/Chicago:20210405T143000
DTSTAMP:20260530T035751
CREATED:20210202T203119Z
LAST-MODIFIED:20210211T154049Z
UID:1037-1617629400-1617633000@ifds.info
SUMMARY:IFDS Ideas Forum: Liu Yang
DESCRIPTION:Person: Liu Yang \nTitle: \nAbstract: \nBio:
URL:https://ifds.info/event/ifds-ideas-forum-04052021/
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210329T133000
DTEND;TZID=America/Chicago:20210329T140000
DTSTAMP:20260530T035751
CREATED:20210114T203812Z
LAST-MODIFIED:20210115T201047Z
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SUMMARY:IFDS Ideas Forum: Jeffrey Covington
DESCRIPTION:Title: \nAbstract: \nJeffrey Covington (Mathematics)\, advised by Nan Chen (Mathematics) and Sebastien Roch (Mathematics)\, works on data assimilation for model state estimation and prediction. His primary focus is on models with nonlinear and non-Gaussian features\, which present problems for traditional data assimilation techniques. Currently he is working on developing techniques for Lagrangian data assimilation problems\, which typically involve high-dimensionality and strong nonlinear interactions.
URL:https://ifds.info/event/ifds-ideas-forum-jeffrey-covington/
LOCATION:Webex
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210322T133000
DTEND;TZID=America/Chicago:20210322T143000
DTSTAMP:20260530T035751
CREATED:20210201T203015Z
LAST-MODIFIED:20210219T192804Z
UID:1035-1616419800-1616423400@ifds.info
SUMMARY:IFDS Ideas Forum: Tara Javidi
DESCRIPTION:Person: Tara Javadi \nTitle: \nAbstract: \nBio:
URL:https://ifds.info/event/ifds-ideas-forum-03222021/
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210315T133000
DTEND;TZID=America/Chicago:20210315T140000
DTSTAMP:20260530T035751
CREATED:20210114T195355Z
LAST-MODIFIED:20210211T153918Z
UID:818-1615815000-1615816800@ifds.info
SUMMARY:IFDS Ideas Forum: Aditya Kumar Akash & Sixu Li
DESCRIPTION:Aditya Kumar Akash & Sixu Li \nTitle: Deep fusion through Wasserstein barycenters in TLp spaces \nAbstract:
URL:https://ifds.info/event/ifds-ideas-forum-liu-yang/
LOCATION:Webex
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210308T133000
DTEND;TZID=America/Chicago:20210308T143000
DTSTAMP:20260530T035751
CREATED:20210202T202742Z
LAST-MODIFIED:20210211T153635Z
UID:1033-1615210200-1615213800@ifds.info
SUMMARY:IFDS Ideas Forum: Nicolas Garcia Trillos
DESCRIPTION:Person: Nicolas Garcia Trillos \nTitle: Adversarial classification\, optimal transport\, and geometric evolutions \nAbstract: \nBio: I am currently an Assistant Professor in the Department of Statistics at the University of Wisconsin Madison. From 2015 – 2018\, I was a Prager Assistant Professor (postdoctoral position) at Brown University. I finished my Ph.D in mathematics at Carnegie Mellon University in 2015; my adviser was Dejan Slepčev. I received my Bachelor’s degree in mathematics from Universidad de Los Andes in Bogotá\, Colombia\, in 2010.
URL:https://ifds.info/event/ifds-ideas-forum-03082021/
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210301T133000
DTEND;TZID=America/Chicago:20210301T143000
DTSTAMP:20260530T035751
CREATED:20210202T202527Z
LAST-MODIFIED:20210211T153405Z
UID:1031-1614605400-1614609000@ifds.info
SUMMARY:IFDS Ideas Forum: Julian Katz-Samuels
DESCRIPTION:Person: Julian Katz-Samuels \nTitle: \nAbstract: \nBio:
URL:https://ifds.info/event/ifds-ideas-forum-03012021/
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210222T133000
DTEND;TZID=America/Chicago:20210222T143000
DTSTAMP:20260530T035751
CREATED:20210202T185957Z
LAST-MODIFIED:20210211T153257Z
UID:954-1614000600-1614004200@ifds.info
SUMMARY:IFDS Ideas Forum: Blake Mason
DESCRIPTION:PERSON: Blake Mason \nTITLE: Metric Learning from Labelled Data is Really Hard \nABSTRACT: \nBIO:
URL:https://ifds.info/event/ifds-ideas-forum-02222021/
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210215T133000
DTEND;TZID=America/Chicago:20210215T143000
DTSTAMP:20260530T035751
CREATED:20210202T185758Z
LAST-MODIFIED:20210219T192622Z
UID:952-1613395800-1613399400@ifds.info
SUMMARY:IFDS Ideas Forum: Steve Wright
DESCRIPTION:PERSON: Steve Wright \nTITLE: Discussion: Zero-Loss NN training \nABSTRACT: \nBIO:
URL:https://ifds.info/event/ifds-ideas-forum-02152021/
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210208T133000
DTEND;TZID=America/Chicago:20210208T143000
DTSTAMP:20260530T035751
CREATED:20210202T184959Z
LAST-MODIFIED:20210211T152659Z
UID:945-1612791000-1612794600@ifds.info
SUMMARY:IFDS Ideas Forum: Miaoyan Wang
DESCRIPTION:PERSON: Miaoyan Wang \nTITLE: Beyond the Signs: Nonparametric Tensor Completion via Sign Series \nABSTRACT: \nBIO:  I am an assistant professor in the Department of Statistics at the University of Wisconsin-Madison since late 2018. I am also an affiliate of the Institute for Foundations of Data Science (IFDS) at Wisconsin Institute for Discovery (WID). My research is in statistical machine learning with a particular focus on matrix/tensor data analysis. Other interests include statistical applications in genetics and neuroimaging. \nPrior to UW-Madision\, I was a postdoc in Computer Science (EECS Department) at UC Berkeley and a Simons Math+X postdoc at University of Pennsylvania. I received my PhD in Statistics from the University of Chicago and BS in Mathematics from Fudan University.
URL:https://ifds.info/event/ifds-ideas-forum-02082021/
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210125T133000
DTEND;TZID=America/Chicago:20210125T143000
DTSTAMP:20260530T035751
CREATED:20210114T194544Z
LAST-MODIFIED:20210115T190559Z
UID:810-1611581400-1611585000@ifds.info
SUMMARY:IFDS Ideas Forum: Xuexhou Zhang
DESCRIPTION:Title: Statistical Robustness in Reinforcement Learning \nAbstract: \nXuezhou Zhang (Computer Sciences)\, advised by Jerry Zhu (Computer Sciences) and Kevin Jamieson (U of Washington)\, works on adaptivity and robustness in sequential decision making. His recent work focuses on designing reinforcement learning framework that learns from a diverse source of teaching signals and learns robustly in the presence of data corruptions.
URL:https://ifds.info/event/ifds-ideas-forum-xuezhou-zhang/
LOCATION:Webex
CATEGORIES:IFDS Ideas Forum
END:VEVENT
END:VCALENDAR