• 78 Citations
  • 5 h-Index
20102020
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Fingerprint Dive into the research topics where Mert Gurbuzbalaban is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Gradient methods Engineering & Materials Science
Convergence Rate Mathematics
Linear Convergence Mathematics
Gradient Method Mathematics
Polynomials Engineering & Materials Science
Gradient Mathematics
Learning systems Engineering & Materials Science
Global Convergence Mathematics

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Projects 2017 2020

Sampling
Processing
Learning systems
Decision making
Communication

Research Output 2010 2018

  • 78 Citations
  • 5 h-Index
  • 9 Article
  • 5 Conference contribution
  • 2 Conference article
2 Citations (Scopus)

Decentralized computation of effective resistances and acceleration of consensus algorithms

Aybat, N. S. & Gurbuzbalaban, M., Mar 7 2018, 2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 538-542 5 p. (2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings; vol. 2018-January).

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

Parallel algorithms
Markov processes
Linear systems
1 Citation (Scopus)

Global convergence rate of proximal incremental aggregated gradient methods

Vanli, N. D., Gurbuzbalaban, M. & Ozdaglar, A., Jan 1 2018, In : SIAM Journal on Optimization. 28, 2, p. 1282-1300 19 p.

Research output: Contribution to journalArticle

Gradient methods
Gradient Method
Global Convergence
Convergence Rate
Gradient

Reducing communication in proximal Newton methods for sparse least squares problems

Soori, S., Demmel, J., Devarakonda, A., Gurbuzbalaban, M., Blanco, Z. & Mehri Dehnavi, M., Aug 13 2018, Proceedings of the 47th International Conference on Parallel Processing, ICPP 2018. Association for Computing Machinery, a22. (ACM International Conference Proceeding Series).

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

Newton-Raphson method
Communication
Electric sparks
Learning systems
Scalability

Surpassing gradient descent provably: A cyclic incremental method with linear convergence rate

Mokhtari, A., Gurbuzbalaban, M. & Ribeiro, A., Jan 1 2018, In : SIAM Journal on Optimization. 28, 2, p. 1420-1447 28 p.

Research output: Contribution to journalArticle

Linear Convergence
Gradient methods
Gradient Descent
Convergence Rate
Gradient
2 Citations (Scopus)

A double incremental aggregated gradient method with linear convergence rate for large-scale optimization

Mokhtari, A., Gurbuzbalaban, M. & Ribeiro, A., Jun 16 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4696-4700 5 p. 7953047. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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

Gradient methods