• 123 Citations
  • 5 h-Index
20102020

Research output per year

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Projects

  • Research Output

    • 123 Citations
    • 5 h-Index
    • 13 Article
    • 6 Conference contribution
    • 2 Conference article

    Randomness and permutations in coordinate descent methods

    Gürbüzbalaban, M., Ozdaglar, A., Vanli, N. D. & Wright, S. J., Jun 1 2020, In : Mathematical Programming. 181, 2, p. 349-376 28 p.

    Research output: Contribution to journalArticle

  • 1 Scopus citations

    Robust accelerated gradient methods for smooth strongly convex functions

    Aybat, N. S., Fallah, A., Gürbüzbalaban, M. & Ozdaglar, A., Jan 1 2020, In : SIAM Journal on Optimization. 30, 1, p. 717-751 35 p.

    Research output: Contribution to journalArticle

  • Accelerated linear convergence of stochastic momentum methods in wasserstein distances

    Can, B., Gurbuzbalaban, M. & Zhu, L., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 1445-1492 48 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Convergence rate of incremental gradient and incremental Newton methods

    Gürbüzbalaban, M., Ozdaglar, A. & Parrilo, P. A., Jan 1 2019, In : SIAM Journal on Optimization. 29, 4, p. 2542-2565 24 p.

    Research output: Contribution to journalArticle

  • Why random reshuffling beats stochastic gradient descent

    Gürbüzbalaban, M., Ozdaglar, A. & Parrilo, P. A., Jan 1 2019, (Accepted/In press) In : Mathematical Programming.

    Research output: Contribution to journalArticle

  • 1 Scopus citations