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PRODID:-//Discrete Mathematics Group - ECPv6.15.20//NONSGML v1.0//EN
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X-ORIGINAL-URL:https://dimag.ibs.re.kr
X-WR-CALDESC:Events for Discrete Mathematics Group
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BEGIN:VTIMEZONE
TZID:Asia/Seoul
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TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:KST
DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Seoul:20251230T163000
DTEND;TZID=Asia/Seoul:20251230T173000
DTSTAMP:20260416T072755
CREATED:20251126T141109Z
LAST-MODIFIED:20251126T141109Z
UID:11882-1767112200-1767115800@dimag.ibs.re.kr
SUMMARY:Yunbum Kook (국윤범)\, Sampling and volume computation
DESCRIPTION:Since the development of the first randomized polynomial-time algorithm for volume computation by Dyer\, Frieze\, and Kannan in 1989\, convex-body sampling has been a central problem at the intersection of algorithms\, geometry\, and probability. A major milestone came in 1997\, when Kannan\, Lovász\, and Simonovits analyzed the Ball Walk and formulated the influential KLS conjecture. This was extended to log-concave distributions by Lovász and Vempala in 2006\, and further accelerated by Cousins and Vempala in 2015 through warm-start generation techniques. \nIn this talk\, I will present a gentle introduction to these milestones and how they have been streamlined and improved in the past few years. The talk is based on joint work with Santosh Vempala.
URL:https://dimag.ibs.re.kr/event/2025-12-30/
LOCATION:Room B332\, IBS (기초과학연구원)
CATEGORIES:Discrete Math Seminar
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