Benchopt: Reproducible, efficient and collaborative optimization benchmarks

T Moreau, M Massias, A Gramfort… - Advances in …, 2022 - proceedings.neurips.cc
Numerical validation is at the core of machine learning research as it allows us to assess the
actual impact of new methods, and to confirm the agreement between theory and practice …
被引用次数：32 相关文章

Benchopt: Reproducible, efficient and collaborative optimization benchmarks

T Moreau, M Massias, A Gramfort… - NeurIPS 2022-36th …, 2022 - univ-lyon1.hal.science
Numerical validation is at the core of machine learning research as it allows to assess the
actual impact of new methods, and to confirm the agreement between theory and practice …

Benchopt: Reproducible, efficient and collaborative optimization benchmarks

T Moreau, M Massias, A Gramfort, P Ablin… - NeurIPS 2022-36th …, 2022 - hal.em-lyon.com
Numerical validation is at the core of machine learning research as it allows to assess the
actual impact of new methods, and to confirm the agreement between theory and practice …

Benchopt: Reproducible, efficient and collaborative optimization benchmarks

T Moreau, M Massias… - NeurIPS 2022 …, 2022 - univ-paris-dauphine.hal.science
Numerical validation is at the core of machine learning research as it allows to assess the
actual impact of new methods, and to confirm the agreement between theory and practice …

Benchopt: Reproducible, efficient and collaborative optimization benchmarks

T Moreau, M Massias, A Gramfort, P Ablin… - NeurIPS 2022-36th …, 2022 - hal.ehesp.fr
Numerical validation is at the core of machine learning research as it allows to assess the
actual impact of new methods, and to confirm the agreement between theory and practice …

Benchopt: Reproducible, efficient and collaborative optimization benchmarks

T Moreau, M Massias, A Gramfort, P Ablin… - NeurIPS 2022-36th …, 2022 - cnrs.hal.science
Numerical validation is at the core of machine learning research as it allows to assess the
actual impact of new methods, and to confirm the agreement between theory and practice …

Benchopt: reproducible, efficient and collaborative optimization benchmarks

T Moreau, M Massias, A Gramfort, P Ablin… - Proceedings of the 36th …, 2022 - dl.acm.org
Numerical validation is at the core of machine learning research as it allows to assess the
actual impact of new methods, and to confirm the agreement between theory and practice …

Benchopt: Reproducible, efficient and collaborative optimization benchmarks

T Moreau, M Massias, A Gramfort, P Ablin… - NeurIPS 2022-36th …, 2022 - psl.hal.science
Numerical validation is at the core of machine learning research as it allows to assess the
actual impact of new methods, and to confirm the agreement between theory and practice …

Benchopt: Reproducible, efficient and collaborative optimization benchmarks

T Moreau, M Massias, A Gramfort, P Ablin… - NeurIPS 2022-36th …, 2022 - hal.univ-smb.fr
Numerical validation is at the core of machine learning research as it allows to assess the
actual impact of new methods, and to confirm the agreement between theory and practice …

Benchopt: Reproducible, efficient and collaborative optimization benchmarks

T Moreau, M Massias, A Gramfort… - 36th Conference on …, 2022 - portal.research.lu.se
Numerical validation is at the core of machine learning research as it allows to assess the
actual impact of new methods, and to confirm the agreement between theory and practice …