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X-ORIGINAL-URL:https://ifds.info
X-WR-CALDESC:Events for IFDS
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TZID:America/Chicago
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DTSTART:20230312T080000
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DTSTART:20231105T070000
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DTSTART:20240310T080000
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240205T123000
DTEND;TZID=America/Chicago:20240205T133000
DTSTAMP:20260407T033447
CREATED:20240318T213252Z
LAST-MODIFIED:20240318T213252Z
UID:2892-1707136200-1707139800@ifds.info
SUMMARY:Towards a new toolbox of optimal statistical primitives
DESCRIPTION:Abstract: Given society’s increasing reliance on data\, its collection and processing into useful information is a technical problem of growing focus\, and perhaps paradoxically\, a critical bottleneck in many data science and machine learning applications. My research focuses on designing algorithms that push the limits of both statistical efficiency and computational efficiency. In particular\, my work tackles the divide between the theory and practice of data science\, which exists even for the most basic statistical problems including mean and (co)variance estimation. Conventional methods such as the sample mean\, while supported by theoretical results under strong assumptions\, are often brittle in the presence of extreme data points. To counter such deficiencies\, practitioners often use ad-hoc and unprincipled “outlier removal” heuristics\, revealing a marked gap between the theory and practice even for these fundamental problems. \nIn this talk\, I will describe my work towards building a new toolbox of optimal statistical primitives\, bridging the theory-practice divide. I will specifically highlight 3 works: A) constructing a statistically-optimal and computationally-efficient 1-dimensional mean estimator\, whose estimation error is optimal even in the leading multiplicative constant\, under bare minimum distributional assumptions\, B) a rather different but also optimal mean estimator for the “very high-dimensional” regime\, and C) a recent result on robustly clustering Gaussian mixtures based on their covariances even in the presence of adversarial data corruption. To conclude the talk\, I will discuss my vision for the new theory and toolbox\, serving as a blueprint for my long-term future research. \nBio: Jasper Lee is a postdoctoral research associate at the University of Wisconsin-Madison\, mentored by Ilias Diakonikolas in the Department of Computer Sciences\, and also affiliated with the Institute for Foundations of Data Science. He completed his PhD at Brown University\, advised by Paul Valiant. \nHis research interests are broadly in the foundations of data science\, aiming to design practical\, data-efficient and computationally-efficient algorithms for a variety of statistical applications. \nHis work is partially supported by a Croucher Fellowship for Postdoctoral Research.
URL:https://ifds.info/event/towards-a-new-toolbox-of-optimal-statistical-primitives/
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:20240131T123000
DTEND;TZID=America/Chicago:20240131T133000
DTSTAMP:20260407T033447
CREATED:20240315T164015Z
LAST-MODIFIED:20240315T172723Z
UID:2828-1706704200-1706707800@ifds.info
SUMMARY:SILO: A scalable method to exploit screening in Gaussian process models with noise
DESCRIPTION:Chris Geoga
URL:https://ifds.info/event/silo-a-scalable-method-to-exploit-screening-in-gaussian-process-models-with-noise/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:SILO
ATTACH;FMTTYPE=image/png:https://ifds.info/wp-content/uploads/2022/10/SILO-1024x683-1-e1665597390709.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240126T133000
DTEND;TZID=America/Los_Angeles:20240126T143000
DTSTAMP:20260407T033447
CREATED:20240318T212134Z
LAST-MODIFIED:20240318T212230Z
UID:2879-1706275800-1706279400@ifds.info
SUMMARY:How do neural networks learn features from data?
DESCRIPTION:Speaker Bio: Adit is currently the George F. Carrier Postdoctoral Fellow in the School of Engineering and Applied Sciences at Harvard. He completed his Ph.D. in electrical engineering and computer science (EECS) at MIT advised by Caroline Uhler and was a Ph.D. fellow at the Eric and Wendy Schmidt Center at the Broad Institute of MIT and Harvard. His research focuses on advancing theoretical foundations of machine learning and developing new methods for tackling biomedical problems. \n\n\n\nAbstract: Understanding how neural networks learn features\, or relevant patterns in data\, for prediction is necessary for their reliable use in technological and scientific applications. We propose a unifying mechanism that characterizes feature learning in neural network architectures. Namely\, we show that features learned by neural networks are captured by a statistical operator known as the average gradient outer product (AGOP). Empirically\, we show that the AGOP captures features across a broad class of network architectures including convolutional networks and large language models. Moreover\, we use AGOP to enable feature learning in general machine learning models through an algorithm we call Recursive Feature Machine (RFM). We show that RFM automatically identifies sparse subsets of features relevant for prediction and explicitly connects feature learning in neural networks with classical sparse recovery and low rank matrix factorization algorithms. Overall\, this line of work advances our fundamental understanding of how neural networks extract features from data\, leading to the development of novel\, interpretable\, and effective models for use in scientific applications.
URL:https://ifds.info/event/how-do-neural-networks-learn-features-from-data/
LOCATION:CSE (Allen) 403
CATEGORIES:MLOpt@UWash
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240124T123000
DTEND;TZID=America/Chicago:20240124T133000
DTSTAMP:20260407T033447
CREATED:20240315T164000Z
LAST-MODIFIED:20240315T173629Z
UID:2827-1706099400-1706103000@ifds.info
SUMMARY:SILO: Funsearch: a novel approach to using large language models as part of mathematical practice
DESCRIPTION:Jordan Ellenberg
URL:https://ifds.info/event/silo-funsearch-a-novel-approach-to-using-large-language-models-as-part-of-mathematical-practice/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:SILO
ATTACH;FMTTYPE=image/png:https://ifds.info/wp-content/uploads/2022/10/SILO-1024x683-1-e1665597390709.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231218T123000
DTEND;TZID=America/Chicago:20231218T123000
DTSTAMP:20260407T033447
CREATED:20231024T213157Z
LAST-MODIFIED:20231024T215501Z
UID:2708-1702902600-1702902600@ifds.info
SUMMARY:IFDS Ideas Forum
DESCRIPTION:TBD\nSpeaker: Sushrut Karmalkar
URL:https://ifds.info/event/tbd-3/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
ATTACH;FMTTYPE=image/jpeg:https://ifds.info/wp-content/uploads/2023/10/iStock-1415961311.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231211T123000
DTEND;TZID=America/Chicago:20231211T123000
DTSTAMP:20260407T033447
CREATED:20231024T213143Z
LAST-MODIFIED:20231024T215415Z
UID:2707-1702297800-1702297800@ifds.info
SUMMARY:IFDS Ideas Forum
DESCRIPTION:TBD\nSpeaker: Thanasis Pittas
URL:https://ifds.info/event/tbd-2/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
ATTACH;FMTTYPE=image/jpeg:https://ifds.info/wp-content/uploads/2023/10/iStock-1415961311.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231206T123000
DTEND;TZID=America/Chicago:20231206T133000
DTSTAMP:20260407T033447
CREATED:20240315T164000Z
LAST-MODIFIED:20240315T173546Z
UID:2826-1701865800-1701869400@ifds.info
SUMMARY:SILO: Invariant Low-Dimensional Subspaces in Gradient Descent for Learning Deep Networks
DESCRIPTION:Qing Qu\, UMich
URL:https://ifds.info/event/silo-invariant-low-dimensional-subspaces-in-gradient-descent-for-learning-deep-networks/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:SILO
ATTACH;FMTTYPE=image/png:https://ifds.info/wp-content/uploads/2022/10/SILO-1024x683-1-e1665597390709.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231204T123000
DTEND;TZID=America/Chicago:20231204T123000
DTSTAMP:20260407T033447
CREATED:20231024T213142Z
LAST-MODIFIED:20231024T215321Z
UID:2706-1701693000-1701693000@ifds.info
SUMMARY:IFDS Ideas Forum
DESCRIPTION:TBD\nSpeakers: Jitian Zhao / Zhexuan Liu
URL:https://ifds.info/event/short-talk-exact-title-tbd-4/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
ATTACH;FMTTYPE=image/jpeg:https://ifds.info/wp-content/uploads/2023/10/iStock-1415961311.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231129T123000
DTEND;TZID=America/Chicago:20231129T133000
DTSTAMP:20260407T033447
CREATED:20240315T164000Z
LAST-MODIFIED:20240315T173459Z
UID:2825-1701261000-1701264600@ifds.info
SUMMARY:SILO: Understanding deep nets: on local Lipschitz functions and learned proximal networks
DESCRIPTION:Jeremias Sulam\, JHU
URL:https://ifds.info/event/silo-understanding-deep-nets-on-local-lipschitz-functions-and-learned-proximal-networks/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:SILO
ATTACH;FMTTYPE=image/png:https://ifds.info/wp-content/uploads/2022/10/SILO-1024x683-1-e1665597390709.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231127T123000
DTEND;TZID=America/Chicago:20231127T123000
DTSTAMP:20260407T033447
CREATED:20231024T212227Z
LAST-MODIFIED:20231024T215121Z
UID:2686-1701088200-1701088200@ifds.info
SUMMARY:IFDS Ideas Forum
DESCRIPTION:TBD\nSpeaker: Zarifis Nikos
URL:https://ifds.info/event/ifds-ideas-forum-47/
CATEGORIES:IFDS Ideas Forum
ATTACH;FMTTYPE=image/jpeg:https://ifds.info/wp-content/uploads/2023/10/iStock-1415961311.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231122T123000
DTEND;TZID=America/Chicago:20231122T133000
DTSTAMP:20260407T033447
CREATED:20240315T164000Z
LAST-MODIFIED:20240315T173404Z
UID:2824-1700656200-1700659800@ifds.info
SUMMARY:SILO: World Knowledge in the Time of Large Models
DESCRIPTION:DeepMind\, Kenneth Marino
URL:https://ifds.info/event/silo-world-knowledge-in-the-time-of-large-models/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:SILO
ATTACH;FMTTYPE=image/png:https://ifds.info/wp-content/uploads/2022/10/SILO-1024x683-1-e1665597390709.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231120T123000
DTEND;TZID=America/Chicago:20231120T123000
DTSTAMP:20260407T033447
CREATED:20231024T213142Z
LAST-MODIFIED:20231024T215229Z
UID:2705-1700483400-1700483400@ifds.info
SUMMARY:IFDS Ideas Forum
DESCRIPTION:TBD\nSpeakers: Karan Srivastava / Chenghui Li
URL:https://ifds.info/event/short-talk-exact-title-tbd-3/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
ATTACH;FMTTYPE=image/jpeg:https://ifds.info/wp-content/uploads/2023/10/iStock-1415961311.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231115T123000
DTEND;TZID=America/Chicago:20231115T133000
DTSTAMP:20260407T033447
CREATED:20240315T164000Z
LAST-MODIFIED:20240315T173311Z
UID:2823-1700051400-1700055000@ifds.info
SUMMARY:SILO: A Theory of Universal Learning
DESCRIPTION:Purdue\, Steve Hanneke
URL:https://ifds.info/event/silo-a-theory-of-universal-learning/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:SILO
ATTACH;FMTTYPE=image/png:https://ifds.info/wp-content/uploads/2022/10/SILO-1024x683-1-e1665597390709.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231113T123000
DTEND;TZID=America/Chicago:20231113T123000
DTSTAMP:20260407T033447
CREATED:20231024T213142Z
LAST-MODIFIED:20231024T215011Z
UID:2704-1699878600-1699878600@ifds.info
SUMMARY:IFDS Ideas Forum
DESCRIPTION:TBD\nSpeakers: William Powell / Andrew Lowy
URL:https://ifds.info/event/short-talk-exact-title-tbd-2/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
ATTACH;FMTTYPE=image/jpeg:https://ifds.info/wp-content/uploads/2023/10/iStock-1415961311.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231108T123000
DTEND;TZID=America/Chicago:20231108T133000
DTSTAMP:20260407T033447
CREATED:20240315T163945Z
LAST-MODIFIED:20240315T173949Z
UID:2822-1699446600-1699450200@ifds.info
SUMMARY:SILO: Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty
DESCRIPTION:Ellen Vitercik\, Stanford
URL:https://ifds.info/event/silo-leveraging-reviews-learning-to-price-with-buyer-and-seller-uncertainty/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:SILO
ATTACH;FMTTYPE=image/png:https://ifds.info/wp-content/uploads/2022/10/SILO-1024x683-1-e1665597390709.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231106T123000
DTEND;TZID=America/Chicago:20231106T123000
DTSTAMP:20260407T033447
CREATED:20231024T213128Z
LAST-MODIFIED:20231024T214918Z
UID:2703-1699273800-1699273800@ifds.info
SUMMARY:IFDS Ideas Forum
DESCRIPTION:TBD\nSpeakers: Joe Shenouda/Matthew Zurek
URL:https://ifds.info/event/short-talk-exact-title-tbd/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
ATTACH;FMTTYPE=image/jpeg:https://ifds.info/wp-content/uploads/2023/10/iStock-1415961311.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231101T123000
DTEND;TZID=America/Chicago:20231101T133000
DTSTAMP:20260407T033447
CREATED:20240315T163945Z
LAST-MODIFIED:20240315T173902Z
UID:2821-1698841800-1698845400@ifds.info
SUMMARY:SILO: Balanced Filtering via Disclosure-Controlled Proxies
DESCRIPTION:Emily Diana\, TTIC
URL:https://ifds.info/event/silo-balanced-filtering-via-disclosure-controlled-proxies/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:SILO
ATTACH;FMTTYPE=image/png:https://ifds.info/wp-content/uploads/2022/10/SILO-1024x683-1-e1665597390709.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231030T123000
DTEND;TZID=America/Chicago:20231030T123000
DTSTAMP:20260407T033447
CREATED:20231024T213128Z
LAST-MODIFIED:20231024T214414Z
UID:2702-1698669000-1698669000@ifds.info
SUMMARY:IFDS Ideas Forum
DESCRIPTION:Human-in-the-Loop Out of Distribution Detection with False Positive Rate Guarantees\nSpeakers: Harit Vishwakarma/Ramya Vinayak
URL:https://ifds.info/event/human-in-the-loop-out-of-distribution-detection-with-false-positive-rate-guarantees/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
ATTACH;FMTTYPE=image/jpeg:https://ifds.info/wp-content/uploads/2023/10/iStock-1415961311.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231025T123000
DTEND;TZID=America/Chicago:20231025T133000
DTSTAMP:20260407T033447
CREATED:20240315T163945Z
LAST-MODIFIED:20240315T173820Z
UID:2820-1698237000-1698240600@ifds.info
SUMMARY:SILO: Understanding Deep Learning through Optimization Bias
DESCRIPTION:Nati Srebro\, TTIC
URL:https://ifds.info/event/silo-understanding-deep-learning-through-optimization-bias/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:SILO
ATTACH;FMTTYPE=image/png:https://ifds.info/wp-content/uploads/2022/10/SILO-1024x683-1-e1665597390709.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231023T123000
DTEND;TZID=America/Chicago:20231023T123000
DTSTAMP:20260407T033447
CREATED:20231024T213128Z
LAST-MODIFIED:20231024T214314Z
UID:2701-1698064200-1698064200@ifds.info
SUMMARY:IFDS Ideas Forum
DESCRIPTION:A Theoretical Analysis of In-context Task Retrieval and Learning/On Squared-Variable Formulations (and LP)\nSpeakers: Ziqian Lin/ Lijun Ding
URL:https://ifds.info/event/a-theoretical-analysis-of-in-context-task-retrieval-and-learning-on-squared-variable-formulations-and-lp/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
ATTACH;FMTTYPE=image/jpeg:https://ifds.info/wp-content/uploads/2023/10/iStock-1415961311.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231019
DTEND;VALUE=DATE:20231021
DTSTAMP:20260407T033447
CREATED:20231024T202544Z
LAST-MODIFIED:20231024T202544Z
UID:2626-1697673600-1697846399@ifds.info
SUMMARY:NSF TRIPODS GRAPFiCs Workshop
DESCRIPTION:
URL:https://sites.google.com/view/grapfics2023/#new_tab
CATEGORIES:Workshop
ATTACH;FMTTYPE=image/jpeg:https://ifds.info/wp-content/uploads/2023/10/iStock-1453364220.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231018T123000
DTEND;TZID=America/Chicago:20231018T133000
DTSTAMP:20260407T033447
CREATED:20240315T163945Z
LAST-MODIFIED:20240315T173720Z
UID:2819-1697632200-1697635800@ifds.info
SUMMARY:SILO: Example Selection and Post-Training Quantization
DESCRIPTION:Christopher De Sa\, Cornell
URL:https://ifds.info/event/silo-example-selection-and-post-training-quantization/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:SILO
ATTACH;FMTTYPE=image/png:https://ifds.info/wp-content/uploads/2022/10/SILO-1024x683-1-e1665597390709.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231016T123000
DTEND;TZID=America/Chicago:20231016T123000
DTSTAMP:20260407T033447
CREATED:20231024T213128Z
LAST-MODIFIED:20231024T214225Z
UID:2700-1697459400-1697459400@ifds.info
SUMMARY:IFDS Ideas Forum
DESCRIPTION:Stochastic Regularized Majorization-Minimization / Variance Reduction Beyond Minimization\nSpeaker: Hanbaek Lyu / Ahmet Alacaoglu
URL:https://ifds.info/event/stochastic-regularized-majorization-minimization-variance-reduction-beyond-minimization/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
ATTACH;FMTTYPE=image/jpeg:https://ifds.info/wp-content/uploads/2023/10/iStock-1415961311.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231012T160000
DTEND;TZID=America/Chicago:20231012T160000
DTSTAMP:20260407T033447
CREATED:20240315T163945Z
LAST-MODIFIED:20240315T171409Z
UID:2818-1697126400-1697126400@ifds.info
SUMMARY:SILO: Distributional Shifts Problems and Distributionally Robust Solutions
DESCRIPTION:U Wash\, Zaid Harchaoui
URL:https://ifds.info/event/silo-distributional-shifts-problems-and-distributionally-robust-solutions/
LOCATION:Researchers’ Link\, 330 N Orchard St\, Madison\, WI\, 53715\, United States
CATEGORIES:SILO
ATTACH;FMTTYPE=image/png:https://ifds.info/wp-content/uploads/2022/10/SILO-1024x683-1-e1665597390709.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231009T123000
DTEND;TZID=America/Chicago:20231009T123000
DTSTAMP:20260407T033447
CREATED:20231024T213127Z
LAST-MODIFIED:20231024T214132Z
UID:2699-1696854600-1696854600@ifds.info
SUMMARY:IFDS Ideas Forum
DESCRIPTION:Geometry-Aware Adaptation for Pretrained Models\nSpeaker: Nicholas Roberts
URL:https://ifds.info/event/geometry-aware-adaptation-for-pretrained-models/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
ATTACH;FMTTYPE=image/jpeg:https://ifds.info/wp-content/uploads/2023/10/iStock-1415961311.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231004T123000
DTEND;TZID=America/Chicago:20231004T133000
DTSTAMP:20260407T033447
CREATED:20240315T163943Z
LAST-MODIFIED:20240315T174203Z
UID:2817-1696422600-1696426200@ifds.info
SUMMARY:SILO: Connections Between Replicability\, Privacy\, and Perfect Generalization
DESCRIPTION:Jessica Sorrell\, UPenn
URL:https://ifds.info/event/silo-connections-between-replicability-privacy-and-perfect-generalization/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:SILO
ATTACH;FMTTYPE=image/png:https://ifds.info/wp-content/uploads/2022/10/SILO-1024x683-1-e1665597390709.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20231002T123000
DTEND;TZID=America/Chicago:20231002T123000
DTSTAMP:20260407T033447
CREATED:20231024T213125Z
LAST-MODIFIED:20231024T213357Z
UID:2698-1696249800-1696249800@ifds.info
SUMMARY:IFDS Ideas Forum
DESCRIPTION:Clustered Federated Learning from the Perspective of Interacting Particle System/The Expressive Power of Low-Rank Adaptation\nSpeakers: Sixu Li/Yuchen Zeng
URL:https://ifds.info/event/clustered-federated-learning-from-the-perspective-of-interacting-particle-system-the-expressive-power-of-low-rank-adaptation/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
ATTACH;FMTTYPE=image/jpeg:https://ifds.info/wp-content/uploads/2023/10/iStock-1415961311.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20230927T123000
DTEND;TZID=America/Chicago:20230927T133000
DTSTAMP:20260407T033447
CREATED:20240315T163943Z
LAST-MODIFIED:20240315T174035Z
UID:2816-1695817800-1695821400@ifds.info
SUMMARY:SILO: Toward a Grand Unified Theory of Accelerations in Optimization and Machine Learning
DESCRIPTION:Ernest Ryu\, SNU
URL:https://ifds.info/event/silo-toward-a-grand-unified-theory-of-accelerations-in-optimization-and-machine-learning/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:SILO
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20230927T123000
DTEND;TZID=America/Chicago:20230927T123000
DTSTAMP:20260407T033447
CREATED:20231024T213125Z
LAST-MODIFIED:20231024T214758Z
UID:2697-1695817800-1695817800@ifds.info
SUMMARY:SILO
DESCRIPTION:Toward a grand unified theory of accelerations in optimization and machine learning\nSpeaker: Ernest Ryu
URL:https://ifds.info/event/toward-a-grand-unified-theory-of-accelerations-in-optimization-and-machine-learning/
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:20230925T123000
DTEND;TZID=America/Chicago:20230925T123000
DTSTAMP:20260407T033447
CREATED:20231024T213125Z
LAST-MODIFIED:20231024T214719Z
UID:2696-1695645000-1695645000@ifds.info
SUMMARY:IFDS Ideas Forum
DESCRIPTION:Accelerating optimization over the probability measure space\nSpeaker: Shi Chen
URL:https://ifds.info/event/accelerating-optimization-over-the-probability-measure-space/
LOCATION:Orchard View Room\, 330 N. Orchard Street\, 3rd Floor NE\, Madison\, Wisconsin\, 53715\, United States
CATEGORIES:IFDS Ideas Forum
ATTACH;FMTTYPE=image/jpeg:https://ifds.info/wp-content/uploads/2023/10/iStock-1415961311.jpg
END:VEVENT
END:VCALENDAR