"Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions" by Gavin Brown, Samuel Hopkins and Adan Smith
"A Pretty Fast Algorithm for Adaptive Private Mean Estimation" by Rohith Kuditipudi, John Duchi and Saminul Haque
#COLT2023 Mark Fulk award for best student paper is shared by two papers
#COLT2023 best paper award to "Bagging is an optimal PAC learner" by Kasper Green Larsen
Registration open for #COLT2023 learningtheory.org/colt2023/…
Call for Open Problems #COLT2023
learningtheory.org/colt2023/… (deadline for submission is Thursday June 8, 2023, 10am PDT)
#COLT2023 submissions are now open
cmt3.research.microsoft.com/…
Conference on Learning Theory retweeted
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
#COLT2022 Call for Open Problems @ccanonne_ learningtheory.org/colt2022/…
Accepted papers for #COLT2022 learningtheory.org/colt2022/…
Conference on Learning Theory retweeted
Registration for #COLT2022 in a gorgeous location in London is open! Spread the word!
@AssocCompLearn @Ri_Science
learningtheory.org/colt2022/ eventbrite.com/e/colt-2022-3…
@CiaraPikeBurke @vernadec @SusanMurphylab1
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…
FYI the submission server is open!
#COLT2022 call for papers learningtheory.org/colt2022/…
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_.
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.
COLT program starts on Aug 4-5 with technical tutorials, mentoring workshops, and community events held fully virtual. The program will continue on Aug 16-19 both in-person in Boulder and virtually with conference talks, awards, keynotes, open problems, and other events.




