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X-WR-CALNAME:IFDS
X-ORIGINAL-URL:https://ifds.info
X-WR-CALDESC:Events for IFDS
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BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20210314T080000
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BEGIN:STANDARD
TZOFFSETFROM:-0500
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TZNAME:CST
DTSTART:20211107T070000
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TZOFFSETFROM:-0600
TZOFFSETTO:-0500
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DTSTART:20220313T080000
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DTSTART:20221106T070000
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TZID:America/Los_Angeles
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TZNAME:PDT
DTSTART:20210314T100000
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DTSTART:20211107T090000
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TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20220313T100000
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BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20220131T123000
DTEND;TZID=America/Chicago:20220131T133000
DTSTAMP:20260407T052710
CREATED:20220119T200612Z
LAST-MODIFIED:20220119T200918Z
UID:1753-1643632200-1643635800@ifds.info
SUMMARY:IFDS Ideas Forum
DESCRIPTION:
URL:https://ifds.info/event/ifds-ideas-forum/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20220126T123000
DTEND;TZID=America/Chicago:20220126T133000
DTSTAMP:20260407T052710
CREATED:20220119T204000Z
LAST-MODIFIED:20220119T204011Z
UID:1804-1643200200-1643203800@ifds.info
SUMMARY:SILO: Csaba Szepesvari
DESCRIPTION:
URL:https://ifds.info/event/silo-csaba-szepesvari/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:SILO
ORGANIZER;CN="Rob%20Nowak":MAILTO:rdnowak@wisc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20220121T123000
DTEND;TZID=America/Chicago:20220121T133000
DTSTAMP:20260407T052710
CREATED:20220325T195836Z
LAST-MODIFIED:20220325T195856Z
UID:1919-1642768200-1642771800@ifds.info
SUMMARY:ML Opt@ UW: Lang Liu
DESCRIPTION:Speaker: Lang Liu \nTitle: The Sample Complexity of Statistical Comparison Between Generative Models \nAbstract: The spectacular success of deep generative models calls for quantitative tools to measure their statistical performance. Divergence frontiers have recently been proposed as an evaluation framework for generative models. Although practically successful\, the sample complexity of the empirical estimator of divergence frontiers is unknown. We establish non-asymptotic bounds on the sample complexity of divergence frontiers\, providing theoretical guidance on their estimation procedure.
URL:https://ifds.info/event/ml-opt-uw-lang-liu/
CATEGORIES:MLOpt@UWash
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220119T120000
DTEND;TZID=America/Los_Angeles:20220119T130000
DTSTAMP:20260407T052710
CREATED:20210921T203152Z
LAST-MODIFIED:20210921T203341Z
UID:1684-1642593600-1642597200@ifds.info
SUMMARY:E & A SIG:
DESCRIPTION:
URL:https://ifds.info/event/e-a-sig-4/
CATEGORIES:E & A SIG
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220114T123000
DTEND;TZID=America/Los_Angeles:20220114T133000
DTSTAMP:20260407T052710
CREATED:20220325T200020Z
LAST-MODIFIED:20220325T200040Z
UID:1923-1642163400-1642167000@ifds.info
SUMMARY:ML Opt@ UW: Yue Sun
DESCRIPTION:Speaker: Yue Sun   \nTitle: Analysis of Policy Gradient Descent for Control: Global Optimality via Convex Parameterization   \nAbstract: Policy gradient descent is a popular approach in reinforcement learning due to its simplicity. Recent work has investigated the optimality and convergence properties of this method when applied in certain control problems. In this work\, we connect policy gradient descent (applied to a nonconvex problem formulation) with classical convex parameterizations in control theory\, to show the gradient dominance property for the nonconvex cost function. Such a connection between nonconvex and convex landscapes holds for continuous/discrete time LQR\, distributed optimal control\, minimizing the $cL_2$ gain\, among others. To the best of our knowledge\, this work offers the first result unifying the landscape analysis of a broad class of control problems.
URL:https://ifds.info/event/ml-opt-uw-yue-sun/
CATEGORIES:MLOpt@UWash
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20220107T153000
DTEND;TZID=America/Chicago:20220107T163000
DTSTAMP:20260407T052710
CREATED:20220106T152210Z
LAST-MODIFIED:20220130T024429Z
UID:1739-1641569400-1641573000@ifds.info
SUMMARY:IFDS All-Hands: Sébastien Roche
DESCRIPTION:Title: Phylogenomics: “Inverting” Random Trees\n\nSpeaker: Sebastien Roch\, UW-Madison\, Department of Mathematics\n\nAbstract: The estimation of species phylogenies from genome-scale data is an important step in modern evolutionary studies. This estimation is complicated by the fact that genes evolve under biological processes that produce discordant trees. Such processes include horizontal gene transfer\, incomplete lineage sorting\, and gene duplication and loss\, all of which can be modeled using certain random tree distributions. I will discuss recent results on the identifiability\, or “invertibility”\, of these probabilistic models. I will also consider the large-sample properties of species tree estimation methods in this context. Based partly on joint works with Max Bacharach\, Brandon Legried\, Erin Molloy\, Elchanan Mossel\, Allan Sly\, Tandy Warnow\, Shuqi Yu.  \n\nBio: Sebastien Roch is a Professor in the Department of Mathematics at University of Wisconsin-Madison\, where he is also affiliated with the Department of Statistics and the Theory of Computing. He earned his Ph.D. in Statistics from the University of California\, Berkeley under the guidance of Elchanan Mossel. From 2007-2009\, he was a Postdoctoral Researcher at Microsoft Research. From 2009-2012\, he was a tenure-track Assistant Professor in the Department of Mathematics at the University of California-Los Angeles. He is the recipient of an NSF CAREER Award and of an Alfred P. Sloan Fellowship. He was a Kavli Fellow of the National Academy of Sciences in 2014 and 2017\, and was a 2018 Simons Fellow. He also received the Best Paper Award at RECOMB 2018. His research interests lie at the interface of applied probability\, statistics\, and theoretical computer science with an emphasis on biological applications.
URL:https://ifds.info/event/ifds-all-hands-sebastien-roche/
LOCATION:Zoom
CATEGORIES:Monthly All-Hands
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20220107T123000
DTEND;TZID=America/Los_Angeles:20220107T133000
DTSTAMP:20260407T052710
CREATED:20220325T200214Z
LAST-MODIFIED:20220325T200231Z
UID:1927-1641558600-1641562200@ifds.info
SUMMARY:IFDS Monthly All-Hands: Sebastien Roch
DESCRIPTION:Speaker: Prof. Sebastien Roch\, UW-Madison\, Department of Mathematics   \nTitle: Phylogenomics: “Inverting” Random Trees   \nAbstract: The estimation of species phylogenies from genome-scale data is an important step in modern evolutionary studies. This estimation is complicated by the fact that genes evolve under biological processes that produce discordant trees. Such processes include horizontal gene transfer\, incomplete lineage sorting\, and gene duplication and loss\, all of which can be modeled using certain random tree distributions. I will discuss recent results on the identifiability\, or “invertibility”\, of these probabilistic models. I will also consider the large-sample properties of species tree estimation methods in this context. Based partly on joint works with Max Bacharach\, Brandon Legried\, Erin Molloy\, Elchanan Mossel\, Allan Sly\, Tandy Warnow\, Shuqi Yu.    
URL:https://ifds.info/event/ifds-monthly-all-hands-sebastien-roch/
CATEGORIES:Monthly All-Hands
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211215T123000
DTEND;TZID=America/Chicago:20211215T123000
DTSTAMP:20260407T052710
CREATED:20210909T195406Z
LAST-MODIFIED:20210909T195406Z
UID:1672-1639571400-1639571400@ifds.info
SUMMARY:SILO-TBA
DESCRIPTION:
URL:https://ifds.info/event/silo-tba-4/
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211215T120000
DTEND;TZID=America/Los_Angeles:20211215T130000
DTSTAMP:20260407T052710
CREATED:20210921T203029Z
LAST-MODIFIED:20210921T203407Z
UID:1682-1639569600-1639573200@ifds.info
SUMMARY:E & A SIG:
DESCRIPTION:
URL:https://ifds.info/event/e-a-sig-3/
CATEGORIES:E & A SIG
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211213T123000
DTEND;TZID=America/Chicago:20211213T130000
DTSTAMP:20260407T052710
CREATED:20210909T193613Z
LAST-MODIFIED:20211025T191917Z
UID:1652-1639398600-1639400400@ifds.info
SUMMARY:IFDS Ideas Forum-Max Bacharach
DESCRIPTION:UNTIL FURTHER NOTICE: Seminars are hybrid in-person and via zoom.
URL:https://ifds.info/event/ifds-ideas-forum-12132021/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211208T123000
DTEND;TZID=America/Chicago:20211208T123000
DTSTAMP:20260407T052710
CREATED:20210909T195405Z
LAST-MODIFIED:20211025T192443Z
UID:1671-1638966600-1638966600@ifds.info
SUMMARY:SILO-Jose Miguel Ponciano
DESCRIPTION:
URL:https://ifds.info/event/silo-12082021/
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211206T123000
DTEND;TZID=America/Chicago:20211206T130000
DTSTAMP:20260407T052710
CREATED:20210909T193458Z
LAST-MODIFIED:20211025T191900Z
UID:1649-1638793800-1638795600@ifds.info
SUMMARY:IFDS Ideas Forum-Julian Katz-Samuels
DESCRIPTION:UNTIL FURTHER NOTICE: Seminars are hybrid in-person and via zoom.
URL:https://ifds.info/event/ifds-ideas-forum-12062021/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211203T133000
DTEND;TZID=America/Los_Angeles:20211203T143000
DTSTAMP:20260407T052710
CREATED:20211201T172618Z
LAST-MODIFIED:20211201T172618Z
UID:1720-1638538200-1638541800@ifds.info
SUMMARY:IFDS All-Hands: Marcella Gomez\, UCSC Applied Math
DESCRIPTION:Title: Open problems in mathematical modeling and control of wound healing  \nAbstract:  Wound healing consists of a series of overlapping biological process with sophisticated coordination to promote wound closure.  Our research work currently focuses on the task of accelerating wound healing by targeting and artificially manipulating key biological processes.  In particular\, we aim to develop models and control architectures for real-time feedback control for accelerated wound closure. In this talk\, I discuss the progress and challenges of working with a complex biological process with limited data\, as well as\, developing feedback control algorithms for systems interfaced with a bioelectronic device and limited observable states. \nBio: Marcella M. Gomez is an associate professor at UC Santa Cruz in the department of Applied Mathematics. She received her PhD from Caltech in 2015 and a B.S. from UC Berkeley in 2009; both degrees in Mechanical Engineering. Her research interests are in synthetic and systems biology. In particular\, she is interested in developing data-driven methods and foundations for modeling and control of complex biological systems.  \nZoom link via email or contact organizer.
URL:https://ifds.info/event/ifds-all-hands-marcella-gomez-ucsc-applied-math/
CATEGORIES:Monthly All-Hands
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211201T123000
DTEND;TZID=America/Chicago:20211201T123000
DTSTAMP:20260407T052710
CREATED:20210909T195405Z
LAST-MODIFIED:20210909T195405Z
UID:1670-1638361800-1638361800@ifds.info
SUMMARY:SILO-Jerry Zhu
DESCRIPTION:
URL:https://ifds.info/event/silo-jerry-zhu/
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211129T123000
DTEND;TZID=America/Chicago:20211129T130000
DTSTAMP:20260407T052710
CREATED:20210909T193353Z
LAST-MODIFIED:20211025T191831Z
UID:1647-1638189000-1638190800@ifds.info
SUMMARY:IFDS Ideas Forum-Sijia Fang & Yuetian Luo
DESCRIPTION:UNTIL FURTHER NOTICE: Seminars are hybrid in-person and via zoom.
URL:https://ifds.info/event/ifds-ideas-forum-11292021/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211124T123000
DTEND;TZID=America/Chicago:20211124T123000
DTSTAMP:20260407T052710
CREATED:20210909T195404Z
LAST-MODIFIED:20210909T195404Z
UID:1669-1637757000-1637757000@ifds.info
SUMMARY:SILO-Yudong Chen
DESCRIPTION:
URL:https://ifds.info/event/silo-yudong-chen/
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211122T123000
DTEND;TZID=America/Chicago:20211122T130000
DTSTAMP:20260407T052710
CREATED:20210909T193245Z
LAST-MODIFIED:20211025T191806Z
UID:1645-1637584200-1637586000@ifds.info
SUMMARY:IFDS Ideas Forum-Yuchen Zeng & Liu Yang
DESCRIPTION:UNTIL FURTHER NOTICE: Seminars are hybrid in-person and via zoom.
URL:https://ifds.info/event/ifds-ideas-forum-11222021/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211117T123000
DTEND;TZID=America/Chicago:20211117T123000
DTSTAMP:20260407T052710
CREATED:20210909T195404Z
LAST-MODIFIED:20210909T195404Z
UID:1668-1637152200-1637152200@ifds.info
SUMMARY:SILO-Keith Levin
DESCRIPTION:
URL:https://ifds.info/event/silo-keith-levin/
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211117T120000
DTEND;TZID=America/Los_Angeles:20211117T130000
DTSTAMP:20260407T052710
CREATED:20210921T202912Z
LAST-MODIFIED:20210921T202912Z
UID:1680-1637150400-1637154000@ifds.info
SUMMARY:E & A SIG:
DESCRIPTION:
URL:https://ifds.info/event/e-a-sig-2/
CATEGORIES:E & A SIG
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211115T123000
DTEND;TZID=America/Chicago:20211115T130000
DTSTAMP:20260407T052710
CREATED:20210909T193127Z
LAST-MODIFIED:20211025T191740Z
UID:1643-1636979400-1636981200@ifds.info
SUMMARY:IFDS Ideas Forum-Jeffrey Covington
DESCRIPTION:UNTIL FURTHER NOTICE: Seminars are hybrid in-person and via zoom.
URL:https://ifds.info/event/ifds-ideas-forum-11152021/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211110T123000
DTEND;TZID=America/Chicago:20211110T123000
DTSTAMP:20260407T052710
CREATED:20210909T195350Z
LAST-MODIFIED:20210909T195350Z
UID:1667-1636547400-1636547400@ifds.info
SUMMARY:SILO-Qiaomin Xie
DESCRIPTION:
URL:https://ifds.info/event/silo-qiaomin-xie/
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211108T123000
DTEND;TZID=America/Chicago:20211108T130000
DTSTAMP:20260407T052710
CREATED:20210909T193019Z
LAST-MODIFIED:20211025T191717Z
UID:1641-1636374600-1636376400@ifds.info
SUMMARY:IFDS Ideas Forum-Sushrut Karmalkar
DESCRIPTION:UNTIL FURTHER NOTICE: Seminars are hybrid in-person and via zoom.
URL:https://ifds.info/event/ifds-ideas-forum-11082021/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211105T133000
DTEND;TZID=America/Los_Angeles:20211105T143000
DTSTAMP:20260407T052710
CREATED:20211105T170055Z
LAST-MODIFIED:20211105T173204Z
UID:1714-1636119000-1636122600@ifds.info
SUMMARY:IFDS All-Hands: Kevin Jamieson
DESCRIPTION:Title: Instance Dependent Sample Complexity Bounds for Interactive Learning \n\n\n\nAbstract: The sample complexity of an interactive learning problem\, such as multi-armed bandits or reinforcement learning\, is the number of interactions with nature required to output an answer (e.g.\, a recommended arm or policy) that is approximately close to optimal with high probability. While minimax guarantees can be useful rules of thumb to gauge the difficulty of a problem class\, algorithms optimized for this worst-case metric often fail to adapt to “easy” instances where fewer samples suffice. In this talk\, I will highlight some of my group’s work on algorithms that obtain optimal\, finite time\, instance dependent sample complexities that scale with the true difficulty of the particular instance\, versus just the worst-case. In particular\, I will describe a unifying experimental design based approach used to obtain such algorithms for best-arm identification for linear bandits\, contextual bandits with arbitrary policy classes\, and smooth losses for linear dynamical systems. \n\n\n\nKevin’s website: https://homes.cs.washington.edu/~jamieson/about.html \n\n\nZoom link:  contact organizer \n\n\n(The talk will not be recorded\, we hope you can join us live!)
URL:https://ifds.info/event/ifds-all-hands-kevin-jamieson/
CATEGORIES:Monthly All-Hands
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211103T123000
DTEND;TZID=America/Chicago:20211103T123000
DTSTAMP:20260407T052710
CREATED:20210909T195350Z
LAST-MODIFIED:20210909T195350Z
UID:1666-1635942600-1635942600@ifds.info
SUMMARY:SILO-Sebastien Roch
DESCRIPTION:
URL:https://ifds.info/event/silo-sebastien-roch/
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211101T123000
DTEND;TZID=America/Chicago:20211101T130000
DTSTAMP:20260407T052710
CREATED:20210909T192136Z
LAST-MODIFIED:20211025T191657Z
UID:1633-1635769800-1635771600@ifds.info
SUMMARY:IFDS Ideas Forum-Hanbaek Lyu
DESCRIPTION:UNTIL FURTHER NOTICE: Seminars are hybrid in-person and via zoom.
URL:https://ifds.info/event/ifds-ideas-forum-11012021/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211029T133000
DTEND;TZID=America/Los_Angeles:20211029T143000
DTSTAMP:20260407T052710
CREATED:20211029T163929Z
LAST-MODIFIED:20211029T163929Z
UID:1711-1635514200-1635517800@ifds.info
SUMMARY:ML-Opt@UW Stephen Mussmann
DESCRIPTION:Understanding and analyzing the effectiveness of uncertainty sampling\n\nActive learning techniques attempt to reduce the amount of data required to learn a classifier by leveraging adaptivity. In particular\, an algorithm iteratively selects and labels points from an unlabeled pool of data points. Over the history of active learning\, many algorithms have been developed\, though one heuristic algorithm\, uncertainty sampling\, stands out by its popularity\, effectiveness\, simplicity\, and intuitiveness. Despite this\, uncertainty sampling has known failure modes and lacks the theoretical underpinnings of some other algorithms such as those based on disagreement. Here\, we present a few analyses of uncertainty sampling. First\, we find that uncertainty sampling iterations implicitly optimizes the (generally non-convex) zero-one loss\, explaining how uncertainty sampling can achieve lower error than labeling the entire unlabeled pool and highlighting the importance of a good initialization. Second\, for logistic regression\, we show that the extent to which uncertainty sampling outperforms random sampling is inversely proportional to the asymptotic error\, both theoretically and empirically. Finally\, we use the previous insights to show uncertainty sampling works very well on a particular NLP task due to extreme label imbalance. Taken together\, these results provide a sturdier foundation for understanding and using uncertainty sampling.\n\nhttps://washington.zoom.us/j/99919016373?pwd=UHpFYmlOL3dXcHEvMWNHcC9Wak1Edz09
URL:https://ifds.info/event/ml-optuw-stephen-mussmann/
CATEGORIES:MLOpt@UWash
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211027T123000
DTEND;TZID=America/Chicago:20211027T123000
DTSTAMP:20260407T052710
CREATED:20210909T195350Z
LAST-MODIFIED:20211025T191629Z
UID:1665-1635337800-1635337800@ifds.info
SUMMARY:SILO-Hanie Sedghi
DESCRIPTION:
URL:https://ifds.info/event/silo-hanie-sedghi/
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211025T123000
DTEND;TZID=America/Chicago:20211025T130000
DTSTAMP:20260407T052710
CREATED:20210909T192033Z
LAST-MODIFIED:20211025T191606Z
UID:1631-1635165000-1635166800@ifds.info
SUMMARY:IFDS Ideas Forum-Zhiyan Ding
DESCRIPTION:Different regimes of overparameterized neural network: NTK and mean-field limit \nUNTIL FURTHER NOTICE: Seminars are hybrid in-person and via zoom.
URL:https://ifds.info/event/ifds-ideas-forum-10252021/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211020T123000
DTEND;TZID=America/Chicago:20211020T123000
DTSTAMP:20260407T052710
CREATED:20210909T195349Z
LAST-MODIFIED:20210909T195349Z
UID:1664-1634733000-1634733000@ifds.info
SUMMARY:SILO-Josiah Hanna
DESCRIPTION:
URL:https://ifds.info/event/silo-josiah-hanna/
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211020T120000
DTEND;TZID=America/Los_Angeles:20211020T130000
DTSTAMP:20260407T052710
CREATED:20210921T202431Z
LAST-MODIFIED:20210921T202431Z
UID:1678-1634731200-1634734800@ifds.info
SUMMARY:E & A SIG:
DESCRIPTION:
URL:https://ifds.info/event/e-a-sig/
CATEGORIES:E & A SIG
END:VEVENT
END:VCALENDAR