Nic Mücke 🦩 🇪🇺
@moskitos_bite
ML Theory type of Person 🥳 Prof. for Statistical Learning @tuBraunschweig Shut the door quietly, please! @[email protected]
Check out our new result on regression with heavy-tailed noise ! Thanks to @gaussianmeasure , @DimitriMeunier1 , @ArthurGretton arxiv.org/abs/2505.14214
this is how statisticians computed linear regressions prior to the invention of the computer:
My issue with #NeurIPS2025: if a co-author fails to submit their assigned reviews, jointly submitted papers are not receiving reviews. Collective punishment is unfair and harmful, discouraging collaboration, penalizing innocent researchers, worsening the academic culture.
We introduce a Hilbert space version of the Fuk-Nagaev bound to the integral operator framework and generalize the typical “Bernstein-trick”: we use the capacity of the hypothesis space as a proxy for the higher moments, giving optimal rates.
We show that the optimal rates from the work by Caponnetto & De Vito (2007) hold without the assumption of sub exponential noise - you only need some finite higher moment.
Check out our new result on regression with heavy-tailed noise ! I learned a lot on this project, thanks to @gaussianmeasure for leading the project. @moskitos_bite @ArthurGretton
New preprint! "Regularized least squares learning with heavy-tailed noise is minimax optimal" joint work with @moskitos_bite, @DimitriMeunier1 and @ArthurGretton
📢Next speaker in our online seminar about inverse problems and learning theory is Dirk Lorenz @Dirque_L with ** Learning regularizers - bilevel optimization or unrolling? ** When: June 18, 14:00–15:00 (CET)
When you're asked to suggest the reviewers for your proposal and to send it to them in advance ....
I wish all the codes of conduct for research integrity that our scientific community has established would be rigorously enforced.
Are there any good mathy resources (intros or tutorials) about optimal transport, with applications in ML?
With another semester ending, here's your annual reminder that teaching evaluations systemically disadvantage women. Even when controlling for grades and other factors, students (esp. males) consistently give female professors lower scores. This can have serious ramifications.🧵
I have strong concerns about mathematical organizations that charge money for membership in a group focused on equity, diversity, and inclusion.
Do you know of a monograph PhD thesis written on the subject of Explainable AI (xAI)? Re-tweets appreciated.
📣The Blog Post Track 2024 is out! 22 Blog posts on ML topics ranging from optimisation to RLHF: blog.iclr.cc/2024/04/02/blo… Tell your colleagues and friends! @iclr_conf @gauthier_gidel @busycalibrating @velythyl @fpedregosa Léo Schwinn