Claudio Mayrink Verdun
8 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (8)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(20)
π
Keyword Champion
β‘
Prolific Year
(5)
Conferences
NIPS (4)
AISTATS (1)
COLT (1)
CVPR (1)
ECCV (1)
Top co-authors
Keywords
intersectional group
(2)
iteratively reweighted least square
(2)
representation learning
(2)
feature extraction
(1)
uncertainty quantification
(1)
feature disentanglement
(1)
global optimization
(1)
l1 regularization
(1)
sparse regression
(1)
high-dimensional learning
(1)
linear convergence
(1)
distributionally robust optimization
(1)
basis pursuit
(1)
generative model
(1)
fairness metric
(1)
bias mitigation
(1)
language model
(1)
text-to-image model
(1)
confidence interval
(1)
sparse autoencoder
(1)
Papers
Get rid of your constraints and reparametrize: A study in NNLS and implicit bias
AISTATS 2025
Multi-Group Proportional Representations for Text-to-Image Models
CVPR 2025
Multi-Group Proportional Representation in Retrieval
NIPS 2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
NIPS 2024
Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence
COLT 2024
Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images
ECCV 2024
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models
NIPS 2024
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
NIPS 2021