The Association for Computational Learning (ACL) organizes the Conference on Learning Theory (COLT).

Joined April 2021
"Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions" by Gavin Brown, Samuel Hopkins and Adan Smith
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"A Pretty Fast Algorithm for Adaptive Private Mean Estimation" by Rohith Kuditipudi, John Duchi and Saminul Haque
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#COLT2023 Mark Fulk award for best student paper is shared by two papers
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#COLT2023 best paper award to "Bagging is an optimal PAC learner" by Kasper Green Larsen
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Call for Open Problems #COLT2023 learningtheory.org/colt2023/… (deadline for submission is Thursday June 8, 2023, 10am PDT)
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Conference on Learning Theory retweeted
Benjamin Guedj@bguedj1 Jun 2022
Are you a student with an accepted paper to #COLT2022? If you have issues to fund your trip to London, you can apply for a travel grant (we might not be able to accommodate all such requests). Deadline: Monday 6th June AoE! learningtheory.org/colt2022/… @AssocCompLearn @CiaraPikeBurke
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Conference on Learning Theory retweeted
Benjamin Guedj@bguedj17 May 2022
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Conference on Learning Theory retweeted
ECE's @mraginsky serves as co-chair of the premier international conference on machine learning theory and artificial intelligence (@AssocCompLearn) scheduled to be held July 2-5, 2022, in London. Learn more: ece.illinois.edu/newsroom/ne…
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The schedule for Aug 16-19 is available on learningtheory.org/colt2021/… and more details, including videos and paper links, will be added shortly. Stay tuned for more!
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A career panel on the theme of "Career Path and Decisions in Industry and Academia" followed by a social game organized by WiML-T. Register at forms.gle/2xyVfjH5mKzSEXLr5 @OptimistsInc @ML_Theorist and @_Lee_Cohen_.
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A session “Remembering Matthew Brennan” hosted by Guy Bresler in celebration of the life and contributions of Matt (mit.edu/~brennanm/)
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A mentorship workshop by Learning Theory Alliance (@let4all) focused on technical, academic (fellowship, admission, job applications), and networking skills. Register at: forms.gle/i7pTLsWW45bG76xT6 @SurbhiGoel_,@nhaghtal, Ramya Korlakai Vinayak, Ellen Vitercik, and John Wright
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Program for Aug 4-5 Two tutorials: 1. Statistical Inference in Distributed or Constrained Settings: Techniques and Recipes, by @AcharyaJayadev, @ccanonne_, @hstyagi 2. Statistical Foundations of Reinforcement Learning, by Akshay Krishnamurthy, Wen Sun.
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