Quentin Bertrand
13 papers · 2019–2025 · 5 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24)
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Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(13)
Optimization & Theory · Machine Learning
(10)
Deep Learning
(5)
Core Methods
(5)
Mathematics & Optimization
(3)
Learning Types · Machine Learning
(3)
Optimization
(3)
Artificial Intelligence
(2)
Core AI
(2)
Models
(2)
Application Areas
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
convex optimization
(3)
gradient descent
(2)
square-root lasso
(2)
generalized linear model
(2)
coordinate descent
(2)
group lasso
(2)
generative model
(2)
anderson acceleration
(2)
hyperparameter optimization
(2)
implicit differentiation
(2)
sparse regression
(2)
sparse feature learning
(1)
model fitting
(1)
lasso regression
(1)
preference optimization
(1)
game theory
(1)
elo rating
(1)
stability analysis
(1)
regularization parameter
(1)
self-play
(1)
Papers
Self-Play Q-Learners Can Provably Collude in the Iterated Prisoner’s Dilemma
ICML 2025
skglm: Improving scikit-learn for Regularized Generalized Linear Models
JMLR 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
NeurIPS 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
Beyond L1: Faster and Better Sparse Models with skglm
NeurIPS 2022
Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning
JMLR 2022
The Curse of Unrolling: Rate of Differentiating Through Optimization
NeurIPS 2022
Anderson acceleration of coordinate descent
AISTATS 2021
Implicit differentiation of Lasso-type models for hyperparameter optimization
ICML 2020
Support recovery and sup-norm convergence rates for sparse pivotal estimation
AISTATS 2020
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso
NeurIPS 2019