On the rate of convergence of the difference-of-convex algorithm (DCA) H Abbaszadehpeivasti, E de Klerk, M Zamani Journal of Optimization Theory and Applications 202 (1), 475-496, 2024 | 25 | 2024 |
The exact worst-case convergence rate of the gradient method with fixed step lengths for L-smooth functions H Abbaszadehpeivasti, E de Klerk, M Zamani Optimization Letters 16 (6), 1649-1661, 2022 | 19 | 2022 |
Conditions for linear convergence of the gradient method for non-convex optimization H Abbaszadehpeivasti, E de Klerk, M Zamani Optimization Letters 17 (5), 1105-1125, 2023 | 11 | 2023 |
Convergence rate analysis of the gradient descent-ascent method for convex-concave saddle-point problems M Zamani, H Abbaszadehpeivasti, E de Klerk Optimization Methods and Software, 2024 | 4 | 2024 |
The exact worst-case convergence rate of the alternating direction method of multipliers M Zamani, H Abbaszadehpeivasti, E de Klerk Mathematical Programming, 2023 | 4 | 2023 |
Convergence rate analysis of randomized and cyclic coordinate descent for convex optimization through semidefinite programming H Abbaszadehpeivasti, E de Klerk, M Zamani Applied Set-Valued Analysis and Optimization 5 (2), 141-153, 2023 | 3 | 2023 |
On the method of moments approach applied to a (generalized) gamma population H Abbaszadehpeivasti, JBG Frenk Communications in Statistics-Theory and Methods 52 (11), 3685-3708, 2023 | 1 | 2023 |
Performance analysis of optimization methods for machine learning H Abbaszadehpeivasti | | 2024 |
On maximum likelihood and sample moment estimators for the MTH (central) moment in a normal and generalized gamma population H Abbaszadehpeivasti | | 2020 |