BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//UNC Statistics & Operational Research - ECPv5.6.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:UNC Statistics & Operational Research
X-ORIGINAL-URL:https://stor.unc.edu
X-WR-CALDESC:Events for UNC Statistics & Operational Research
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20210101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20210920T153000
DTEND;TZID=UTC:20210920T163000
DTSTAMP:20210920T151330
CREATED:20210824T165509Z
LAST-MODIFIED:20210920T145552Z
UID:12765-1632151800-1632155400@stor.unc.edu
SUMMARY:STOR Colloquium: Iain Carmichael\, University of Washington-Seattle
DESCRIPTION:Iain Carmichael\nUniversity of Washington \nThe folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property \nStructured sparsity is an important part of the modern statistical toolkit. We say a set of model parameters has block diagonal sparsity up to permutations if its elements can be viewed as the edges of a graph that has multiple connected components. For example\, a block diagonal correlation matrix with K blocks of variables corresponds to a graph with K connected components whose nodes are the variables and whose edges are the correlations. This type of sparsity captures clusters of model parameters. To learn block diagonal sparsity patterns we develop folded concave Laplacian spectral penalty and provide a majorization-minimization algorithm for the resulting non-convex problem. We show this algorithm has the appealing computational and statistical guarantee of converging to the oracle estimator after two steps with high probability\, even in high-dimensional settings. The theory is then demonstrated in several classical problems including covariance estimation\, linear regression\, and logistic regression.
URL:https://stor.unc.edu/event/stor-colloquium-iain-carmichael-univ-of-washington/
LOCATION:120 Hanes Hall\, Hanes Hall\, Chapel Hill\, NC\, 27599\, United States
CATEGORIES:STOR Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211101T153000
DTEND;TZID=UTC:20211101T163000
DTSTAMP:20210920T151330
CREATED:20210907T173640Z
LAST-MODIFIED:20210907T173640Z
UID:12808-1635780600-1635784200@stor.unc.edu
SUMMARY:STOR Colloquium: Thomas Lee\, University of California - Davis
DESCRIPTION:
URL:https://stor.unc.edu/event/stor-colloquium-thomas-lee-university-of-california-davis/
LOCATION:NC
CATEGORIES:STOR Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211108T153000
DTEND;TZID=UTC:20211108T163000
DTSTAMP:20210920T151330
CREATED:20210824T165600Z
LAST-MODIFIED:20210920T145602Z
UID:12767-1636385400-1636389000@stor.unc.edu
SUMMARY:STOR Colloquium: Lauren Davis\, North Carolina A&T University
DESCRIPTION:
URL:https://stor.unc.edu/event/stor-colloquium-lauren-davis-nc-at/
LOCATION:120 Hanes Hall\, Hanes Hall\, Chapel Hill\, NC\, 27599\, United States
CATEGORIES:STOR Colloquium
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211115T133000
DTEND;TZID=UTC:20211115T153000
DTSTAMP:20210920T151330
CREATED:20210917T173709Z
LAST-MODIFIED:20210917T173709Z
UID:12837-1636983000-1636990200@stor.unc.edu
SUMMARY:Ph.D. Defense: Nhan Huu Pham
DESCRIPTION:
URL:https://stor.unc.edu/event/ph-d-defense-nhan-huu-pham/
LOCATION:130 Hanes Hall\, Hanes Hall\, Chapel Hill\, 27599\, United States
CATEGORIES:PhD Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20211122T153000
DTEND;TZID=UTC:20211122T163000
DTSTAMP:20210920T151330
CREATED:20210824T165649Z
LAST-MODIFIED:20210920T145615Z
UID:12769-1637595000-1637598600@stor.unc.edu
SUMMARY:STOR Colloquium: George Lan\, Georgia Institute of Technology
DESCRIPTION:
URL:https://stor.unc.edu/event/stor-colloquium-george-lan-georgia-tech/
LOCATION:120 Hanes Hall\, Hanes Hall\, Chapel Hill\, NC\, 27599\, United States
CATEGORIES:STOR Colloquium
END:VEVENT
END:VCALENDAR