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Dive into the research topics where Andreas Themelis is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient
Latafat, P., Themelis, A., Stella, L. & Patrinos, P., Sept 2025, In: Mathematical Programming. 213, 1-2, p. 433-471 39 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Citations (Scopus) -
On the Convergence of Proximal Gradient Methods for Convex Simple Bilevel Optimization
Latafat, P., Themelis, A., Villa, S. & Patrinos, P., Mar 2025, In: Journal of Optimization Theory and Applications. 204, 3, 51.Research output: Contribution to journal › Article › peer-review
Open Access -
Adaptive Proximal Gradient Methods Are Universal Without Approximation
Oikonomidis, K., Laude, E., Latafat, P., Themelis, A. & Patrinos, P., 2024, In: Proceedings of Machine Learning Research. 235, p. 38663-38682 20 p.Research output: Contribution to journal › Conference article › peer-review
4 Link opens in a new tab Citations (Scopus) -
A Mirror Inertial Forward–Reflected–Backward Splitting: Convergence Analysis Beyond Convexity and Lipschitz Smoothness
Wang, Z., Themelis, A., Ou, H. & Wang, X., Nov 2024, In: Journal of Optimization Theory and Applications. 203, 2, p. 1127-1159 33 p.Research output: Contribution to journal › Article › peer-review
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An interior proximal gradient method for nonconvex optimization
De Marchi, A. & Themelis, A., 2024, In: Open Journal of Mathematical Optimization. 5Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (Scopus)