Quentin Bertrand
13 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (6) πΊοΈ Taxonomy Completionist (23)
π
Cross-Pollinator
(10)
π
Keyword Champion
(2)
π₯
Unstoppable
(7)
π
Century Club
(13)
Conferences
NIPS (4)
AISTATS (3)
ICML (3)
JMLR (2)
ICLR (1)
Top co-authors
Keywords
convex optimization
(3)
gradient descent
(2)
square-root lasso
(2)
group lasso
(2)
implicit differentiation
(2)
coordinate descent
(2)
generalized linear model
(2)
anderson acceleration
(2)
hyperparameter optimization
(2)
sparse regression
(2)
model fitting
(1)
sparse feature learning
(1)
lasso regression
(1)
regularized regression
(1)
preference optimization
(1)
game theory
(1)
bilevel optimization
(1)
elo rating
(1)
nuclear norm regularization
(1)
regularization parameter
(1)
Papers
skglm: Improving scikit-learn for Regularized Generalized Linear Models
JMLR 2025
Self-Play $Q$-Learners Can Provably Collude in the Iterated Prisonerβs Dilemma
ICML 2025
On the Stability of Iterative Retraining of Generative Models on their own Data
ICLR 2024
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences
NIPS 2024
On the Limitations of the Elo, Real-World Games are Transitive, not Additive
AISTATS 2023
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning
ICML 2023
The Curse of Unrolling: Rate of Differentiating Through Optimization
NIPS 2022
Beyond L1: Faster and Better Sparse Models with skglm
NIPS 2022
Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning
JMLR 2022
Anderson acceleration of coordinate descent
AISTATS 2021
Support recovery and sup-norm convergence rates for sparse pivotal estimation
AISTATS 2020
Implicit differentiation of Lasso-type models for hyperparameter optimization
ICML 2020
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso
NIPS 2019