Alp Yurtsever (2019)

Research Interests:

  • Performance analysis of optimization algorithms
  • Stochastic optimization
  • Scalable convex optimization

Biography

I received my double major BSc in Electrical and Electronics Engineering Department and the Department of Physics of Middle East Technical University, Ankara, Turkey, in 2013. I started my PhD studies at EPFL in 2013 and finished them in 2019. The PhD thesis, entitled Scalable Convex Optimization Methods for Semidefinite Programming was supervised by Prof. Volkan Cevher.

Publications with LIONS  (most recent)

Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization

G. Dresdner; M-L. Vladarean; G. Rätsch; F. Locatello; V. Cevher et al. 

2022. 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022), [ Virtual only] Valencia, Spain, March 28-30, 2022.

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An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity

L. Ding; A. Yurtsever; V. Cevher; J. A. Tropp; M. Udell 

Siam Journal On Optimization. 2021-01-01. Vol. 31, num. 4, p. 2695-2725. DOI : 10.1137/19M1244603.

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Scalable Semidefinite Programming

A. Yurtsever; J. A. Tropp; O. Fercoq; M. Udell; V. Cevher 

SIAM Journal on Mathematics of Data Science. 2021. Vol. 3, num. 1, p. 171–200. DOI : 10.1137/19M1305045.

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Streaming Low-Rank Matrix Approximation With An Application To Scientific Simulation

J. A. Tropp; A. Yurtsever; M. Udell; V. Cevher 

SIAM Journal on Scientific Computing. 2019-01-01. Vol. 41, num. 4, p. A2430-A2463. DOI : 10.1137/18M1201068.

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Stochastic Frank-Wolfe for Composite Convex Minimization

F. Locatello; A. Yurtsever; O. Fercoq; V. Cevher 

2019. NeurIPS 2019 : Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, December 8-14, 2019.

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