University of California, Berkeley, CA 94720, USA; Not specified in provided content; IMAG, Univ Montpellier, CNRS, Montpellier, France; Univ Lyon, Inria, CNRS, ENS de Lyon, UCB Lyon 1, LIP UMR 5668, F-69342, Lyon, France; The Department of Statistics, Lund University; LTCI, Télécom Paris, 91120 Palaiseau, France; Université Paris-Dauphine, PSL University, CNRS, 75016, Paris, France; CNRS & Université Côte d’Azur, Laboratoire J.A. Dieudonné, CNRS, Nice, France; ENS Ulm, CNRS, UMR 8553, Paris, France; Université Paris-Saclay, Inria, CEA, 91120 Palaiseau, France; University of Luxembourg, LCSB, Esch-sur-Alzette, Luxembourg; TETIS, Univ Montpellier, INRAE, Montpellier, France; Criteo AI Lab, Paris, France
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupre la Tour, Ghislain DURIF, Cassio 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
reproducibility;optimization;lasso;resnet;logistic regression;open source software;benchmark
Benchopt: Reproducible, efficient and collaborative optimization benchmarks