Quentin Bertrand

According to our database1, Quentin Bertrand authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Local linear convergence of proximal coordinate descent algorithm.
Optim. Lett., January, 2024

2023
Q-learners Can Provably Collude in the Iterated Prisoner's Dilemma.
CoRR, 2023

On the Stability of Iterative Retraining of Generative Models on their own Data.
CoRR, 2023

Omega: Optimistic EMA Gradients.
CoRR, 2023

Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning.
Proceedings of the International Conference on Machine Learning, 2023

On the Limitations of the Elo, Real-World Games are Transitive, not Additive.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning.
J. Mach. Learn. Res., 2022

Synergies Between Disentanglement and Sparsity: a Multi-Task Learning Perspective.
CoRR, 2022

The Curse of Unrolling: Rate of Differentiating Through Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Beyond L1: Faster and Better Sparse Models with skglm.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Anderson acceleration of coordinate descent.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Model identification and local linear convergence of coordinate descent.
CoRR, 2020

Implicit differentiation of Lasso-type models for hyperparameter optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Support recovery and sup-norm convergence rates for sparse pivotal estimation.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Concomitant Lasso with Repetitions (CLaR): beyond averaging multiple realizations of heteroscedastic noise.
CoRR, 2019

Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017
Anytime Exact Belief Propagation.
CoRR, 2017


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