Nic Mücke 🦩 🇪🇺 @moskitos_bite
ML Theory type of Person 🥳 Prof. for Statistical Learning @tuBraunschweig Shut the door quietly, please! @[email protected] nicolemuecke.com Joined May 2021-
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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.
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@miniapeur @gaussianmeasure @DimitriMeunier1 @ArthurGretton Hey! Thanks!
Check out our new result on regression with heavy-tailed noise ! Thanks to @gaussianmeasure , @DimitriMeunier1 , @ArthurGretton arxiv.org/abs/2505.14214
Nic Mücke 🦩 🇪🇺 retweeted
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.
Nic Mücke 🦩 🇪🇺 retweeted
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.
Nic Mücke 🦩 🇪🇺 retweeted
Link: arxiv.org/abs/2505.14214
Nic Mücke 🦩 🇪🇺 retweeted
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
@ilyamiskov The DVD contains video impressions from various washing machines. As a bonus, there are also recordings from a dryer.
@RenateKuenast Those who interpret 'DEI' as preferential treatment for certain groups misunderstand its true meaning and origins.
@miniapeur Do you want to tell us that you're not young anymore ...... ? 😲
@ProbFact In no other branch of mathematics do experts roll the dice on being wrong quite like in probability theory.
@Dirque_L Mich irritiert auch, dass bei einer W3 Professur immer noch von *früher Karrierephase* gesprochen wird ...
@james_nichols @sp_monte_carlo depends on scientific maturity ... and will change accordingly
@miniapeur The moment when you reach the students, when you see in their faces that they have understood something bigger, is incredibly fulfilling.
@miniapeur We see the number of AI papers, not all of which need to be written, but have to be due to the pressure we are under in academia. Often, I find teaching more rewarding.
Organizers Werner Zellinger (RICAM), Nicole Mücke (TU Braunschweig), Luca Ratti (Uni Bologna), Tatiana Bubba (Uni Bath), Matteo Santacesaria (Uni Genoa), Sergei Pereverzyev (RICAM), Markus Holzleitner (Uni Genoa), Abhishake Rastogi (Uni LUT)
Link: oeaw-ac-at.zoom.us/j/62912641909?… Meeting-ID: 629 1264 1909 Kenncode: mZc4Zu
📢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)
📢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)
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