20162024

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  • 2021

    Regret minimization in stochastic non-convex learning via a proximal-gradient approach

    Hallak, N., Mertikopoulos, P. & Cevher, V., 2021, International Conference on Machine Learning. p. 4008-4017 10 p.

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

  • Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach

    Hallak, N., Mertikopoulos, P. & Cevher, V., 2021, Proceedings of the 38th International Conference on Machine Learning, ICML 2021. p. 4008-4017 10 p. (Proceedings of Machine Learning Research; vol. 139).

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

  • 2020

    Efficient proximal mapping of the 1-path-norm of shallow networks

    Latorre, F., Rolland, P., Hallak, N. & Cevher, V., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). p. 5607-5617 11 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-8).

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