9 citations · 25 across the 22 of their papers we have counts for
4 papers · 1 filter
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models
Adam Karvonen, Benjamin Wright, Can Rager +6
What latent features are encoded in language model (LM) representations? Recent work on training sparse autoencoders (SAEs) to disentangle interpretable features in LM representati…
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus +2
Uncertainty quantification (UQ) is a crucial but challenging task in many high-dimensional regression or learning problems to increase the confidence of a given predictor. We devel…
With or Without Replacement? Improving Confidence in Fourier Imaging
Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer +2
Over the last few years, debiased estimators have been proposed in order to establish rigorous confidence intervals for high-dimensional problems in machine learning and data scien…
Multi-Group Proportional Representation in Retrieval
Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long +5
Image search and retrieval tasks can perpetuate harmful stereotypes, erase cultural identities, and amplify social disparities. Current approaches to mitigate these representationa…