Quentin Klopfenstein

Orcid: 0000-0002-5771-6013

According to our database1, Quentin Klopfenstein authored at least 10 papers between 2020 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

2023
FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings.
CoRR, 2023

Coordinate Descent for SLOPE.
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

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

Benchopt: Reproducible, efficient and collaborative optimization benchmarks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Non-smooth optimization for the estimation of cellular immune components in a tumoral environment. (Optimisation non-lisse pour l'estimation de composants immunitaires cellulaires dans un environnement tumoral).
PhD thesis, 2021

Linear support vector regression with linear constraints.
Mach. Learn., 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


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