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X-ORIGINAL-URL:https://ifds.info
X-WR-CALDESC:Events for IFDS
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20210314T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20211107T070000
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TZID:America/Los_Angeles
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DTSTART:20210314T100000
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DTSTART:20211107T090000
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210519T123000
DTEND;TZID=America/Chicago:20210519T133000
DTSTAMP:20260409T064636
CREATED:20210202T202131Z
LAST-MODIFIED:20210517T133821Z
UID:1029-1621427400-1621431000@ifds.info
SUMMARY:SILO: Dimitris Tsipras
DESCRIPTION:Title: Robust Machine Learning: The Worst-Case and Beyond \nAbstract:\nOne of the key challenges in the real-world deployment of machine learning models is their brittleness: their performance significantly degrades when exposed to even small variations of their training environments. \nHow can we build ML models that are more robust? \nIn this talk\, I will present a methodology for training models that are invariant to a broad family of worst-case input perturbations. I will then describe how such robust learning leads to models that learn fundamentally different data representations\, and how this can be useful even outside the adversarial context. Finally\, I will discuss model robustness beyond the worst-case: ways in which our models fail to generalize and how we can guide further progress on this front.” \nBio:\n“Dimitris Tsipras is a PhD student in the MIT EECS Department\, advised by Aleksander Mądry. His work revolves around the reliability and robustness of machine learning systems\, as well as the science of modern machine learning. He is currently being supported by a Facebook PhD Fellowship \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/silo-05192021/
CATEGORIES:SILO
ORGANIZER;CN="Rob%20Nowak":MAILTO:rdnowak@wisc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20210604T133000
DTEND;TZID=America/Los_Angeles:20210604T143000
DTSTAMP:20260409T064636
CREATED:20210602T191959Z
LAST-MODIFIED:20210602T192210Z
UID:1320-1622813400-1622817000@ifds.info
SUMMARY:ML-Opt: Romain Camilleri and Swati Padmanabhan
DESCRIPTION:The final talks of the ML-OPT seminar of the spring quarter will be given Friday (6/4) at 1:30pm PST by Romain Camilleri and Swati Padmanabhan.\n\n\nTitle: High-Dimensional Experimental Design and Kernel Bandits\n\nAbstract: I will talk about high-dimensional bandits. First I want to review how the classical approach to solving linear bandits motivates an experimental design problem. Then I plan to justify why common rounding techniques cannot be applied in a potentially infinite-dimensional space. Lastly\, I will show that one can avoid relying on rounding techniques by using a Catoni estimator.\n\nBio: Romain Camilleri is a 3rd year Ph.D. student at the Paul G. Allen School of Computer Science and Engineering at the University of Washington\, where he is advised by Kevin Jamieson.\n\n—————————————-\nTitle: Computing Lewis Weights to High Precision\n\nAbstract: We present an algorithm for computing high-precision approximate L_p Lewis weights for p > 2. Given an m x n real full-rank matrix A and p>=3\, our algorithm computes epsilon-approximate L_p-Lewis weights using  O(p^3 \log (m p / epsilon)) iterations\, where each iteration takes time linear in the sparsity of the input matrix plus the time to compute the leverage scores of a diagonal rescaling of A. Previously\, such iteration complexities were known only for 0< p < 4   [CohenPeng2015]. Consequently\, our result helps complete the picture on near-optimal reduction from leverage scores to L_p-Lewis weights for all p>0.\n[Joint work with Maryam Fazel\, Yin Tat Lee\, and Aaron Sidford]\n\n\nBio: Swati is a graduate student working on problems in convex optimization\, advised by Yin Tat Lee.
URL:https://ifds.info/event/ml-opt-romain-camilleri-and-swati-padmanabhan/
CATEGORIES:MLOpt@UWash
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210610
DTEND;VALUE=DATE:20210612
DTSTAMP:20260409T064636
CREATED:20210527T145754Z
LAST-MODIFIED:20210527T152640Z
UID:1293-1623283200-1623455999@ifds.info
SUMMARY:TRIPODS PI meeting
DESCRIPTION:
URL:https://ifds.info/event/tripods-pi-meeting/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210726
DTEND;VALUE=DATE:20210731
DTSTAMP:20260409T064636
CREATED:20210527T151603Z
LAST-MODIFIED:20210622T185804Z
UID:1295-1627257600-1627689599@ifds.info
SUMMARY:IFDS Summer School
DESCRIPTION:
URL:https://ifds.info/event/ifds-summer-school/
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20210802
DTEND;VALUE=DATE:20210805
DTSTAMP:20260409T064636
CREATED:20210527T151703Z
LAST-MODIFIED:20210527T152440Z
UID:1297-1627862400-1628121599@ifds.info
SUMMARY:MadLab Workshop
DESCRIPTION:
URL:https://ifds.info/event/madlab-workshop/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210908T123000
DTEND;TZID=America/Chicago:20210908T123000
DTSTAMP:20260409T064636
CREATED:20210909T195343Z
LAST-MODIFIED:20210909T195343Z
UID:1658-1631104200-1631104200@ifds.info
SUMMARY:SILO-Shivani Agrawal
DESCRIPTION:
URL:https://ifds.info/event/silo-shivani-agrawal/
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210913T123000
DTEND;TZID=America/Chicago:20210913T130000
DTSTAMP:20260409T064636
CREATED:20210909T185851Z
LAST-MODIFIED:20210909T192642Z
UID:1616-1631536200-1631538000@ifds.info
SUMMARY:IFDS Ideas Forum-Ahmet Alacaoglu
DESCRIPTION:UNTIL FURTHER NOTICE: Seminars are hybrid in-person and via zoom.
URL:https://ifds.info/event/ifds-ideas-forum-09132021/
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:20210915T120000
DTEND;TZID=America/Los_Angeles:20210915T130000
DTSTAMP:20260409T064636
CREATED:20210921T202200Z
LAST-MODIFIED:20210921T202325Z
UID:1675-1631707200-1631710800@ifds.info
SUMMARY:E & A SIG: Krishna Pillutla
DESCRIPTION:
URL:https://ifds.info/event/krishna-pillutla/
CATEGORIES:E & A SIG
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210915T123000
DTEND;TZID=America/Chicago:20210915T123000
DTSTAMP:20260409T064636
CREATED:20210909T195343Z
LAST-MODIFIED:20210909T195343Z
UID:1659-1631709000-1631709000@ifds.info
SUMMARY:SILO-Greg Canal
DESCRIPTION:
URL:https://ifds.info/event/silo-greg-canal/
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210920T123000
DTEND;TZID=America/Chicago:20210920T130000
DTSTAMP:20260409T064636
CREATED:20210909T191549Z
LAST-MODIFIED:20210909T192658Z
UID:1621-1632141000-1632142800@ifds.info
SUMMARY:IFDS Ideas Forum-Jasper Lee
DESCRIPTION:UNTIL FURTHER NOTICE: Seminars are hybrid in-person and via zoom.
URL:https://ifds.info/event/ifds-ideas-forum-09202021/
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:20210922T123000
DTEND;TZID=America/Chicago:20210922T123000
DTSTAMP:20260409T064636
CREATED:20210909T195344Z
LAST-MODIFIED:20210909T195344Z
UID:1660-1632313800-1632313800@ifds.info
SUMMARY:SILO-Michael Unser
DESCRIPTION:New representer theorems for inverse problems and machine learning
URL:https://ifds.info/event/silo-michael-unser/
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20210927T123000
DTEND;TZID=America/Chicago:20210927T133000
DTSTAMP:20260409T064636
CREATED:20210909T191648Z
LAST-MODIFIED:20210909T192810Z
UID:1623-1632745800-1632749400@ifds.info
SUMMARY:IFDS Ideas Forum-Greg Canal
DESCRIPTION:UNTIL FURTHER NOTICE: Seminars are hybrid in-person and via zoom.
URL:https://ifds.info/event/ifds-ideas-forum-09272021/
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:20210929T123000
DTEND;TZID=America/Chicago:20210929T123000
DTSTAMP:20260409T064636
CREATED:20210909T195344Z
LAST-MODIFIED:20210909T195344Z
UID:1661-1632918600-1632918600@ifds.info
SUMMARY:SILO-Jeff Linderoth
DESCRIPTION:Subspace cluster with missing data via integer programming
URL:https://ifds.info/event/silo-jeff-linderoth/
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211004T133000
DTEND;TZID=America/Chicago:20211004T140000
DTSTAMP:20260409T064636
CREATED:20210909T191747Z
LAST-MODIFIED:20210909T192804Z
UID:1625-1633354200-1633356000@ifds.info
SUMMARY:IFDS Ideas Forum-Chaobing Song
DESCRIPTION:UNTIL FURTHER NOTICE: Seminars are hybrid in-person and via zoom.
URL:https://ifds.info/event/ifds-ideas-forum-10042021/
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:20211006T123000
DTEND;TZID=America/Chicago:20211006T123000
DTSTAMP:20260409T064636
CREATED:20210909T195344Z
LAST-MODIFIED:20210909T195344Z
UID:1662-1633523400-1633523400@ifds.info
SUMMARY:SILO-TBA
DESCRIPTION:
URL:https://ifds.info/event/silo-tba/
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211008T133000
DTEND;TZID=America/Los_Angeles:20211008T143000
DTSTAMP:20260409T064636
CREATED:20211008T211805Z
LAST-MODIFIED:20211008T211902Z
UID:1691-1633699800-1633703400@ifds.info
SUMMARY:IFDS All-Hands: Qin Li
DESCRIPTION:Title:\nMean field theory in Inverse Problems from Bayesian inference to overparameterization of networks \n\nAbstract:\nBayesian sampling and neural networks are seemingly two different machine learning areas\, but they both deal with many particle systems. In sampling\, one evolves a large number of samples (particles) to match a target distribution function\, and in optimizing over-parameterized neural networks\, one can view neurons particles that feed each other information in the DNN flow. These perspectives allow us to employ mean-field theory\, a powerful tool that translates dynamics of many particle system into a partial differential equation (PDE)\, so rich PDE analysis techniques can be used to understand both the convergence of sampling methods and the zero-loss property of over-parameterization of ResNets. We showcase the use of mean-field theory in these two machine learning areas\, and we also invite the audience to brainstorm other possible applications.
URL:https://ifds.info/event/ifds-all-hands-qin-li/
CATEGORIES:Monthly All-Hands
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211011T123000
DTEND;TZID=America/Chicago:20211011T130000
DTSTAMP:20260409T064636
CREATED:20210909T191844Z
LAST-MODIFIED:20211008T212442Z
UID:1627-1633955400-1633957200@ifds.info
SUMMARY:IFDS Ideas Forum-Multilingual NLP: Zero-shot Cross-lingual Transfer Learning
DESCRIPTION:UNTIL FURTHER NOTICE: Seminars are hybrid in-person and via zoom.
URL:https://ifds.info/event/ifds-ideas-forum-10112021/
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:20211013T123000
DTEND;TZID=America/Chicago:20211013T123000
DTSTAMP:20260409T064636
CREATED:20210909T195349Z
LAST-MODIFIED:20210909T195349Z
UID:1663-1634128200-1634128200@ifds.info
SUMMARY:SILO-TBA
DESCRIPTION:
URL:https://ifds.info/event/silo-tba-2/
CATEGORIES:SILO
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211018T123000
DTEND;TZID=America/Chicago:20211018T130000
DTSTAMP:20260409T064636
CREATED:20210909T191937Z
LAST-MODIFIED:20211008T212631Z
UID:1629-1634560200-1634562000@ifds.info
SUMMARY:IFDS Ideas Forum: TBD
DESCRIPTION:REMOTE only
URL:https://ifds.info/event/ifds-ideas-forum-10182021/
LOCATION:Zoom
CATEGORIES:IFDS Ideas Forum
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20211020T120000
DTEND;TZID=America/Los_Angeles:20211020T130000
DTSTAMP:20260409T064636
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
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20211020T123000
DTEND;TZID=America/Chicago:20211020T123000
DTSTAMP:20260409T064636
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/Chicago:20211025T123000
DTEND;TZID=America/Chicago:20211025T130000
DTSTAMP:20260409T064636
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:20211027T123000
DTEND;TZID=America/Chicago:20211027T123000
DTSTAMP:20260409T064636
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/Los_Angeles:20211029T133000
DTEND;TZID=America/Los_Angeles:20211029T143000
DTSTAMP:20260409T064636
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:20211101T123000
DTEND;TZID=America/Chicago:20211101T130000
DTSTAMP:20260409T064636
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/Chicago:20211103T123000
DTEND;TZID=America/Chicago:20211103T123000
DTSTAMP:20260409T064636
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/Los_Angeles:20211105T133000
DTEND;TZID=America/Los_Angeles:20211105T143000
DTSTAMP:20260409T064636
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:20211108T123000
DTEND;TZID=America/Chicago:20211108T130000
DTSTAMP:20260409T064636
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/Chicago:20211110T123000
DTEND;TZID=America/Chicago:20211110T123000
DTSTAMP:20260409T064636
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:20211115T123000
DTEND;TZID=America/Chicago:20211115T130000
DTSTAMP:20260409T064636
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
END:VCALENDAR