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ORCIDAndreas Themelis
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2020 – today
- 2024
[j16]Pourya Behmandpoor
, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos:
SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization. Comput. Optim. Appl. 88(1): 71-106 (2024)- [j15]Ziyuan Wang, Andreas Themelis, Hongjia Ou, Xianfu Wang:
A Mirror Inertial Forward-Reflected-Backward Splitting: Convergence Analysis Beyond Convexity and Lipschitz Smoothness. J. Optim. Theory Appl. 203(2): 1127-1159 (2024) - [c13]Ou Hongjia, Andreas Themelis:
Safeguarding adaptive methods: global convergence of Barzilai-Borwein and other stepsize choices. CoDIT 2024: 2802-2807 - [c12]Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos:
Adaptive Proximal Gradient Methods Are Universal Without Approximation. ICML 2024 - [c11]Puya Latafat, Andreas Themelis, Panagiotis Patrinos:
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. L4DC 2024: 197-208 - [i7]Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos:
Adaptive proximal gradient methods are universal without approximation. CoRR abs/2402.06271 (2024) - [i6]Ou Hongjia, Andreas Themelis:
Safeguarding adaptive methods: global convergence of Barzilai-Borwein and other stepsize choices. CoRR abs/2404.09617 (2024) - 2023
- [j14]Emanuel Laude, Andreas Themelis, Panagiotis Patrinos:
Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy. SIAM J. Optim. 33(4): 2721-2749 (2023) - [i5]Puya Latafat, Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos:
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. CoRR abs/2301.04431 (2023) - [i4]Puya Latafat, Andreas Themelis, Panagiotis Patrinos:
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. CoRR abs/2311.18431 (2023) - 2022
- [j13]Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos:
Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms. Comput. Optim. Appl. 82(2): 395-440 (2022) - [j12]Alberto De Marchi, Andreas Themelis:
Proximal Gradient Algorithms Under Local Lipschitz Gradient Continuity. J. Optim. Theory Appl. 194(3): 771-794 (2022) - [j11]Puya Latafat, Andreas Themelis, Panagiotis Patrinos:
Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems. Math. Program. 193(1): 195-224 (2022) - [j10]Ben Hermans, Andreas Themelis, Panagiotis Patrinos:
QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs. Math. Program. Comput. 14(3): 497-541 (2022) - [j9]Puya Latafat, Andreas Themelis, Masoud Ahookhosh, Panagiotis Patrinos:
Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity. SIAM J. Optim. 32(3): 2230-2262 (2022) - [c10]Aneek Nag, Shuo Huang, Andreas Themelis, Kaoru Yamamoto:
Flock navigation with dynamic hierarchy and subjective weights using nonlinear MPC. CCTA 2022: 1135-1140 - [i3]Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos:
SPIRAL: A Superlinearly Convergent Incremental Proximal Algorithm for Nonconvex Finite Sum Minimization. CoRR abs/2207.08195 (2022) - [i2]Pieter Pas, Andreas Themelis, Panagiotis Patrinos:
Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control. CoRR abs/2212.04391 (2022) - 2021
- [j8]Masoud Ahookhosh, Andreas Themelis, Panagiotis Patrinos:
A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima. SIAM J. Optim. 31(1): 653-685 (2021) - [c9]Brecht Evens, Puya Latafat, Andreas Themelis, Johan A. K. Suykens, Panagiotis Patrinos:
Neural Network Training as an Optimal Control Problem : - An Augmented Lagrangian Approach -. CDC 2021: 5136-5143 - [c8]Miguel Simões, Andreas Themelis, Panagiotis Patrinos:
Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. EUSIPCO 2021: 2089-2093 - [i1]Miguel Simões, Andreas Themelis, Panagiotis Patrinos:
Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. CoRR abs/2103.08533 (2021) - 2020
- [j7]Andreas Themelis, Panagiotis Patrinos:
Douglas-Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results. SIAM J. Optim. 30(1): 149-181 (2020) - [c7]Andreas Themelis, Ben Hermans, Panagiotis Patrinos:
A new envelope function for nonsmooth DC optimization. CDC 2020: 4697-4702 - [c6]Nico Vervliet, Andreas Themelis, Panagiotis Patrinos, Lieven De Lathauwer:
A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition. EUSIPCO 2020: 1020-1024
2010 – 2019
- 2019
- [j6]Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos:
Newton-Type Alternating Minimization Algorithm for Convex Optimization. IEEE Trans. Autom. Control. 64(2): 697-711 (2019) - [j5]Andreas Themelis, Panagiotis Patrinos:
SuperMann: A Superlinearly Convergent Algorithm for Finding Fixed Points of Nonexpansive Operators. IEEE Trans. Autom. Control. 64(12): 4875-4890 (2019) - [c5]Ben Hermans, Andreas Themelis, Panagiotis Patrinos:
QPALM: A Newton-type Proximal Augmented Lagrangian Method for Quadratic Programs. CDC 2019: 4325-4330 - 2018
- [j4]Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos:
Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms. SIAM J. Optim. 28(3): 2274-2303 (2018) - [c4]Ajay Sathya, Pantelis Sopasakis, Ruben Van Parys, Andreas Themelis, Goele Pipeleers, Panagiotis Patrinos:
Embedded nonlinear model predictive control for obstacle avoidance using PANOC. ECC 2018: 1523-1528 - 2017
- [j3]Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos:
Forward-backward quasi-Newton methods for nonsmooth optimization problems. Comput. Optim. Appl. 67(3): 443-487 (2017) - [c3]Lorenzo Stella, Andreas Themelis, Pantelis Sopasakis, Panagiotis Patrinos:
A simple and efficient algorithm for nonlinear model predictive control. CDC 2017: 1939-1944 - [c2]Pantelis Sopasakis, Andreas Themelis, Johan A. K. Suykens, Panagiotis Patrinos:
A primal-dual line search method and applications in image processing. EUSIPCO 2017: 1065-1069 - 2016
- [c1]Andreas Themelis, Silvia Villa, Panagiotis Patrinos, Alberto Bemporad:
Stochastic gradient methods for stochastic model predictive control. ECC 2016: 154-159 - 2013
- [j2]Andreas Themelis:
Information and Intermediation, Abuse of Dominance and Internet 'Neutrality': 'Updating' Competition Policy under the Digital Single Market and the Google Investigations(?). Eur. J. Law Technol. 4(3) (2013) - 2012
- [j1]Andreas Themelis:
After Pierre Fabre: the future of online distribution under competition policy. Int. J. Law Inf. Technol. 20(4): 346-369 (2012)
Coauthor Index
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last updated on 2024-11-25 23:38 CET by the dblp team
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