Quentin Klopfenstein

17 papers A* 3A 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Author Correction: Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease. npj Digit. Medicine Cyril Brzenczek, Quentin Klopfenstein, Tom Hähnel, Stefano Sapienza, Jochen Klucken, Holger Fröhlich, Enrico Glaab, NCER-PD Consortium
2025	J	`jnl`	skglm: Improving scikit-learn for Regularized Generalized Linear Models. J. Mach. Learn. Res. Badr Moufad, Pierre-Antoine Bannier, Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias
2024	J	`jnl`	Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease. npj Digit. Medicine Cyril Brzenczek, Quentin Klopfenstein, Tom Hähnel, Holger Fröhlich, Enrico Glaab, Geeta Acharya, Gloria Aguayo, Myriam Alexandre, Muhammad Ali, Wim Ammerlann, Giuseppe Arena, Michele Bassis, Roxane Batutu, Katy Beaumont, Sibylle Béchet, Guy Berchem, Alexandre Bisdorff, Ibrahim Boussaad, David Bouvier, Lorieza Castillo, Gessica Contesotto, Nancy De Bremaeker, Brian Dewitt, Nico Diederich, Rene Dondelinger, Nancy E. Ramia, Angelo Ferrari, Katrin Frauenknecht, Joëlle Fritz, Carlos Gamio, Manon Gantenbein, Piotr Gawron, Laura Georges, Soumyabrata Ghosh, Marijus Giraitis, Martine Goergen, Elisa Gómez de Lope, Jérôme Graas, Mariella Graziano, Valentin Grouès, Anne Grünewald, Gaël Hammot, Anne-Marie Hanff, Linda Hansen, Michael Heneka, Estelle Henry, Margaux Henry, Sylvia Herbrink, Sascha Herzinger, Alexander Hundt, Nadine Jacoby, Sonja Jónsdóttir, Jochen Klucken, Olga Kofanova, Rejko Krüger, Pauline Lambert, Zied Landoulsi, Roseline Lentz, Ana Festas Lopes, Victoria Lorentz, Tainá M. Marques, Guilherme Marques, Patricia Martins Conde, Patrick May, Deborah Mcintyre, Chouaib Mediouni, Francoise Meisch, Alexia Mendibide, Myriam Menster, Maura Minelli, Michel Mittelbronn, Saïda Mtimet, Maeva Munsch, Romain Nati, Ulf Nehrbass, Sarah Nickels, Beatrice Nicolai, Jean-Paul Nicolay, Maria Fernanda Niño Uribe, Fozia Noor, Clarissa P. C. Gomes, Sinthuja Pachchek, Claire Pauly, Laure Pauly, Lukas Pavelka, Magali Perquin, Achilleas Pexaras, Armin Rauschenberger, Rajesh Rawal, Dheeraj Reddy Bobbili, Lucie Remark, Ilsé Richard, Olivia Roland, Kirsten Roomp, Eduardo Rosales, Stefano Sapienza, Venkata P. Satagopam, Sabine Schmitz, Reinhard Schneider, Jens Schwamborn, Raquel Severino, Amir Sharify, Ruxandra Soare, Ekaterina Soboleva, Kate Sokolowska, Maud Theresine, Hermann Thien, Elodie Thiry, Rebecca Ting Jiin Loo, Johanna Trouet, Olena Tsurkalenko, Michel Vaillant, Carlos Vega, Liliana Vilas Boas, Paul Wilmes, Evi Wollscheid-Lengeling, Gelani Zelimkhanov
2024	J	`jnl`	Local linear convergence of proximal coordinate descent algorithm. Optim. Lett. Quentin Klopfenstein, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon, Samuel Vaiter
2023	A	`conf`	Coordinate Descent for SLOPE. AISTATS Johan Larsson, Quentin Klopfenstein, Mathurin Massias, Jonas Wallin
2023	J	`jnl`	FedECA: A Federated External Control Arm Method for Causal Inference with Time-To-Event Data in Distributed Settings. CoRR Jean Ogier du Terrail, Quentin Klopfenstein, Honghao Li, Imke Mayer, Nicolas Loiseau, Mohammad Hallal, Félix Balazard, Mathieu Andreux
2022	A*	`conf`	Benchopt: Reproducible, efficient and collaborative optimization benchmarks. NeurIPS Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
2022	J	`jnl`	Benchopt: Reproducible, efficient and collaborative optimization benchmarks. CoRR Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
2022	A*	`conf`	Beyond L1: Faster and Better Sparse Models with skglm. NeurIPS Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias
2022	J	`jnl`	Beyond L1: Faster and Better Sparse Models with skglm. CoRR Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier, Gauthier Gidel, Mathurin Massias
2022	J	`jnl`	Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning. J. Mach. Learn. Res. Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
2021	J	`jnl`	Implicit differentiation for fast hyperparameter selection in non-smooth convex learning. CoRR Quentin Bertrand, Quentin Klopfenstein, Mathurin Massias, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
2021	J	`jnl`	Linear support vector regression with linear constraints. Mach. Learn. Quentin Klopfenstein, Samuel Vaiter
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). Quentin Klopfenstein
2020	A*	`conf`	Implicit differentiation of Lasso-type models for hyperparameter optimization. ICML Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
2020	J	`jnl`	Implicit differentiation of Lasso-type models for hyperparameter optimization. CoRR Quentin Bertrand, Quentin Klopfenstein, Mathieu Blondel, Samuel Vaiter, Alexandre Gramfort, Joseph Salmon
2020	J	`jnl`	Model identification and local linear convergence of coordinate descent. CoRR Quentin Klopfenstein, Quentin Bertrand, Alexandre Gramfort, Joseph Salmon, Samuel Vaiter