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X-ORIGINAL-URL:https://ifds.info
X-WR-CALDESC:Events for IFDS
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TZOFFSETFROM:-0600
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TZNAME:CDT
DTSTART:20210314T080000
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DTSTART:20211107T070000
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210203T123000
DTEND;TZID=America/Chicago:20210203T133000
DTSTAMP:20260516T095108
CREATED:20210202T162925Z
LAST-MODIFIED:20210202T185248Z
UID:930-1612355400-1612359000@ifds.info
SUMMARY:SILO: Yao Xie
DESCRIPTION:Statistical inference on spatio-temporal networks \nUNTIL FURTHER NOTICE: Seminars are virtual. Sign up for the SILO email list to receive the links to each talk at https://groups.google.com/ and browse for silo
URL:https://ifds.info/event/statistical-inference-on-spatio-temporal-networks/
LOCATION:WI
CATEGORIES:SILO
ORGANIZER;CN="Rob%20Nowak":MAILTO:rdnowak@wisc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210205T133000
DTEND;TZID=America/Los_Angeles:20210205T143000
DTSTAMP:20260516T095108
CREATED:20210115T155014Z
LAST-MODIFIED:20210205T134755Z
UID:845-1612531800-1612535400@ifds.info
SUMMARY:IFDS All-Hands: Zaid Harchaoui
DESCRIPTION:Zaid Harchaoui\, Associate Professor\, Statistics \nTitle: On statistical estimation\, signal denoising\, and convex optimization \nAbstract: We revisit the classical statistical problem of adaptive discrete-time signal denoising. Conventional nonparametric statistics and signal processing approaches rely on strong structural assumptions on the signal set. The approach we present\, inspired by the seminal works from Ibragimov-Khasminskii and later Donoho\, takes a different view and focuses instead on statistical estimators amenable to convex optimization. We show that such estimators possess better statistical properties than conventional ones. In particular\, under an assumption of approximate shift-invariance\, the proposed estimators enjoy l2-loss oracle inequalities. We show how to implement them using optimal first-order methods and highlight interesting statistical-computational trade-offs. Joint work with D. Ostrovskii\, A. Juditsky\, A. Nemirovski.  \n 
URL:https://ifds.info/event/ifds-all-hands-zaid-harchaoui/
LOCATION:WI
CATEGORIES:Monthly All-Hands
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210208T133000
DTEND;TZID=America/Chicago:20210208T143000
DTSTAMP:20260516T095108
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/
LOCATION:WI
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210210T123000
DTEND;TZID=America/Chicago:20210210T133000
DTSTAMP:20260516T095108
CREATED:20210202T162926Z
LAST-MODIFIED:20210202T190411Z
UID:931-1612960200-1612963800@ifds.info
SUMMARY:SILO: Hamed Hasani
DESCRIPTION:Two Facets of Learning Robust Models: Fundamental Limits and \nUNTIL FURTHER NOTICE: Seminars are virtual. Sign up for the SILO email list to receive the links to each talk at https://groups.google.com/ and browse for silo
URL:https://ifds.info/event/two-facets-of-learning-robust-models-fundamental-limits-and/
LOCATION:WI
CATEGORIES:SILO
ORGANIZER;CN="Rob%20Nowak":MAILTO:rdnowak@wisc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210212T133000
DTEND;TZID=America/Chicago:20210212T143000
DTSTAMP:20260516T095108
CREATED:20210115T202956Z
LAST-MODIFIED:20210212T002315Z
UID:890-1613136600-1613140200@ifds.info
SUMMARY:ML-Opt @ UWash: Postponed-TBD
DESCRIPTION:This talk will be rescheduled for a later date.\nTitle: Convergence of the empirical superquantile for risk-sensitive machine learning \nAbstract:  I’ll present some background in risk-sensitive learning + Theorem 2.1 of  this paper (using ML nomenclature) \n 
URL:https://ifds.info/event/ml-opt-uwash-krishna-pillutla/
LOCATION:WI
CATEGORIES:MLOpt@UWash
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210215T133000
DTEND;TZID=America/Chicago:20210215T143000
DTSTAMP:20260516T095108
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/
LOCATION:WI
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210217T123000
DTEND;TZID=America/Chicago:20210217T133000
DTSTAMP:20260516T095108
CREATED:20210202T162926Z
LAST-MODIFIED:20210202T190606Z
UID:932-1613565000-1613568600@ifds.info
SUMMARY:SILO: Tara Javidi
DESCRIPTION:Generalization to Natural Out-of-Distribution Inputs \nUNTIL FURTHER NOTICE: Seminars are virtual. Sign up for the SILO email list to receive the links to each talk at https://groups.google.com/ and browse for silo
URL:https://ifds.info/event/generalization-to-natural-out-of-distribution-inputs/
LOCATION:WI
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210219T133000
DTEND;TZID=America/Chicago:20210219T143000
DTSTAMP:20260516T095108
CREATED:20210115T203136Z
LAST-MODIFIED:20210115T203136Z
UID:892-1613741400-1613745000@ifds.info
SUMMARY:ML-Opt @ UWash: Omid Sadeghi
DESCRIPTION:Title: \nAbstract:
URL:https://ifds.info/event/ml-opt-uwash-omid-sadeghi/
LOCATION:WI
CATEGORIES:MLOpt@UWash
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210222T133000
DTEND;TZID=America/Chicago:20210222T143000
DTSTAMP:20260516T095108
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/
LOCATION:WI
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210224T123000
DTEND;TZID=America/Chicago:20210224T133000
DTSTAMP:20260516T095108
CREATED:20210202T190745Z
LAST-MODIFIED:20210202T190811Z
UID:959-1614169800-1614173400@ifds.info
SUMMARY:SILO: Jose Blanchet
DESCRIPTION:Title: TBD
URL:https://ifds.info/event/silo-jose-blanchet/
LOCATION:WI
CATEGORIES:SILO
ORGANIZER;CN="Rob%20Nowak":MAILTO:rdnowak@wisc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210226T133000
DTEND;TZID=America/Los_Angeles:20210226T143000
DTSTAMP:20260516T095108
CREATED:20210115T203300Z
LAST-MODIFIED:20220325T193610Z
UID:894-1614346200-1614349800@ifds.info
SUMMARY:ML-Opt @ UWash: Andrew Wagenmaker
DESCRIPTION:Title:\n\nAbstract:
URL:https://ifds.info/event/ml-opt-uwash-andrew-wagenmaker/
LOCATION:WI
CATEGORIES:MLOpt@UWash
END:VEVENT
END:VCALENDAR