Skip to main navigation Skip to search Skip to main content
  • 231
    Citations
20182025

Research activity per year

Fingerprint

Dive into the research topics where Mathurin Massias is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Convexity in ReLU Neural Networks: Beyond ICNNs?

    Gagneux, A., Massias, M., Soubies, E. & Gribonval, R., 1 Aug 2025, In: Journal of Mathematical Imaging and Vision. 67, 4, 40.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • SCHUR'S POSITIVE-DEFINITE NETWORK: DEEP LEARNING IN THE SPD CONE WITH STRUCTURE

    Pouliquen, C., Vayer, T. & Massias, M., 1 Jan 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 87850-87865 16 p. (13th International Conference on Learning Representations, ICLR 2025).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)
  • skglm: Improving scikit-learn for Regularized Generalized Linear Models

    Moufad, B., Bannier, P. A., Bertrand, Q., Klopfenstein, Q. & Massias, M., 1 Jan 2025, In: Journal of Machine Learning Research. 26

    Research output: Contribution to journalArticlepeer-review

    2 Citations (Scopus)
  • Iterative regularization for low complexity regularizers

    Molinari, C., Massias, M., Rosasco, L. & Villa, S., 1 Apr 2024, In: Numerische Mathematik. 156, 2, p. 641-689 49 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
  • Coordinate Descent for SLOPE

    Larsson, J., Klopfenstein, Q., Massias, M. & Wallin, J., 1 Jan 2023, In: Proceedings of Machine Learning Research. 206, p. 4802-4821 20 p.

    Research output: Contribution to journalConference articlepeer-review

    4 Citations (Scopus)
  • Benchopt: Reproducible, efficient and collaborative optimization benchmarks

    Moreau, T., Massias, M., Gramfort, A., Ablin, P., Bannier, P. A., Charlier, B., Dagréou, M., la Tour, T. D., Durif, G., Dantas, C. F., Klopfenstein, Q., Larsson, J., Lai, E., Lefort, T., Malézieux, B., Moufad, B., Nguyen, B. T., Rakotomamonjy, A., Ramzi, Z. & Salmon, J. & 1 others, Vaiter, S., 1 Jan 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    28 Citations (Scopus)
  • Beyond L1: Faster and Better Sparse Models with skglm

    Bertrand, Q., Klopfenstein, Q., Bannier, P. A., Gidel, G. & Massias, M., 1 Jan 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    14 Citations (Scopus)
  • Dimension-free convergence rates for gradient Langevin dynamics in RKHS

    Muzellec, B., Sato, K., Massias, M. & Suzuki, T., 1 Jan 2022, In: Proceedings of Machine Learning Research. 178, p. 1356-1420 65 p.

    Research output: Contribution to journalConference articlepeer-review

    3 Citations (Scopus)
  • Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning

    Bertrand, Q., Klopfenstein, Q., Massias, M., Blondel, M., Vaiter, S., Gramfort, A. & Salmon, J., 1 Apr 2022, In: Journal of Machine Learning Research. 23

    Research output: Contribution to journalArticlepeer-review

    18 Citations (Scopus)
  • Anderson acceleration of coordinate descent

    Bertrand, Q. & Massias, M., 1 Jan 2021, In: Proceedings of Machine Learning Research. 130, p. 1288-1296 9 p.

    Research output: Contribution to journalConference articlepeer-review

    12 Citations (Scopus)