Personal profile
PhD supervision
Professor Etienne de Klerk
Teaching
Statistics 2 EBE/IBA
Research interests
I am already working on the complexity of first order methods using performance estimation.
Education/Academic qualification
Other, Master’s Degree, On maximum likelihood and sample moment estimators for the mth (central) moment in a normal and generalized gamma population, Sabanci University
31 Jan 2019 → 15 Dec 2020
Other, Master’s Degree, A stochastic Kriging meta-model for simulation optimization based on a k-optimal design, Sharif University of Technology
15 Sept 2012 → 12 Sept 2014
Keywords
- First order methods
- Complexity analysis
- Performance estimation
- Optimization
- Machine Learning
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Collaborations and top research areas from the last five years
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Convergence rate analysis of the gradient descent-ascent method for convex-concave saddle-point problems
Zamani, M., Abbaszadehpeivasti, H. & de Klerk, E., 2 Sept 2024, In: Optimization Methods & Software. 39, 5, p. 967-989 23 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access1 Link opens in a new tab Citation (Scopus) -
On the rate of convergence of the difference-of-convex algorithm (DCA)
Abbaszadehpeivasti, H., de Klerk, E. & Zamani, M., Jul 2024, In: Journal of Optimization Theory and Applications. 202, p. 475-496Research output: Contribution to journal › Article › Scientific › peer-review
Open Access5 Link opens in a new tab Citations (Scopus) -
Performance analysis of optimization methods for machine learning
Abbaszadehpeivasti, H., 2024, Tilburg: CentER, Center for Economic Research. 252 p.Research output: Thesis › Doctoral Thesis
Open AccessFile410 Downloads (Pure) -
The exact worst-case convergence rate of the alternating direction method of multipliers
Zamani, M., Abbaszadehpeivasti, H. & de Klerk, E., Nov 2024, In: Mathematical Programming. 208, 1-2, p. 243-276Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile69 Downloads (Pure) -
Conditions for linear convergence of the gradient method for non-convex optimization
Abbaszadehpeivasti, H., de Klerk, E. & Zamani, M., 2023, In: Optimization Letters. 17, p. 1105–1125Research output: Contribution to journal › Article › Scientific › peer-review
Open Access