Claudio Mayrink Verdun
8 papers · 2021–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird β‘ Prolific Year Β· Productive
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(4)
Optimization & Theory
(4)
Deep Learning
(3)
Mathematics & Optimization
(3)
Application Areas
(3)
Optimization
(3)
Artificial Intelligence
(2)
Core AI
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Natural Language Processing
(1)
Architectures
(1)
Clinical
(1)
Generation
(1)
Keywords
uncertainty quantification
(2)
intersectional group
(2)
iteratively reweighted least square
(2)
representation learning
(2)
multi-task learning
(1)
feature extraction
(1)
statistical learning
(1)
deep learning
(1)
sparse recovery
(1)
feature disentanglement
(1)
global optimization
(1)
l1 regularization
(1)
sparse regression
(1)
gradient descent
(1)
linear convergence
(1)
non-negative least squares
(1)
high-dimensional learning
(1)
distributionally robust optimization
(1)
basis pursuit
(1)
compressive sensing
(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
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
NeurIPS 2024
Multi-Group Proportional Representation in Retrieval
NeurIPS 2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
NeurIPS 2024
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate
NeurIPS 2021