Quentin Klopfenstein
6 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(10)
👥
Mega-Team · Squad
Venues
Top co-authors
Research topics
Keywords
generalized linear model
(2)
implicit differentiation
(2)
convex optimization
(2)
sparse regression
(2)
hyperparameter optimization
(2)
proximal gradient descent
(2)
coordinate descent
(2)
nonsmooth optimization
(1)
proximal gradient
(1)
bilevel optimization
(1)
sparse model
(1)
high-dimensional data
(1)
sorted l-one penalized estimation
(1)
anderson acceleration
(1)
collaborative framework
(1)
optimization benchmark
(1)
reproducible research
(1)
resnet training
(1)
logistic regression
(1)
feature selection
(1)
Papers
skglm: Improving scikit-learn for Regularized Generalized Linear Models
JMLR 2025
Coordinate Descent for SLOPE
AISTATS 2023
Benchopt: Reproducible, efficient and collaborative optimization benchmarks
NeurIPS 2022
Beyond L1: Faster and Better Sparse Models with skglm
NeurIPS 2022
Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning
JMLR 2022
Implicit differentiation of Lasso-type models for hyperparameter optimization
ICML 2020