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Andreas Themelis
Andreas Themelis
Bestätigte E-Mail-Adresse bei m.kyushu-u.ac.jp
Titel
Zitiert von
Zitiert von
Jahr
Forward-backward quasi-Newton methods for nonsmooth optimization problems
L Stella, A Themelis, P Patrinos
Computational Optimization and Applications 30 (2), 1-45, 2017
1432017
A simple and efficient algorithm for nonlinear model predictive control
L Stella, A Themelis, P Sopasakis, P Patrinos
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1939-1944, 2017
1262017
Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms
A Themelis, L Stella, P Patrinos
SIAM Journal on Optimization 28 (3), 2274-2303, 2018
1162018
Douglas--Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results
A Themelis, P Patrinos
SIAM Journal on Optimization 30 (1), 149-181, 2020
1082020
Embedded nonlinear model predictive control for obstacle avoidance using PANOC
A Sathya, P Sopasakis, R Van Parys, A Themelis, G Pipeleers, P Patrinos
2018 European Control Conference (ECC), 1523-1528, 2018
1052018
SuperMann: a superlinearly convergent algorithm for finding fixed points of nonexpansive operators
A Themelis, P Patrinos
IEEE Transactions on Automatic Control 64 (12), 4875-4890, 2019
612019
A Bregman forward-backward linesearch algorithm for nonconvex composite optimization: superlinear convergence to nonisolated local minima
M AHOOKHOSH, A THEMELIS, P PATRINOS
SIAM Journal on Optimization 31 (1), 653-685, 2021
442021
On the acceleration of forward-backward splitting via an inexact Newton method
A Themelis, M Ahookhosh, P Patrinos
Splitting Algorithms, Modern Operator Theory, and Applications, 363-412, 2019
282019
QPALM: A newton-type proximal augmented lagrangian method for quadratic programs
B Hermans, A Themelis, P Patrinos
2019 IEEE 58th Conference on Decision and Control (CDC), 4325-4330, 2019
212019
Proximal Algorithms for Structured Nonconvex Optimization
A Themelis
PhD thesis, KU Leuven/IMT Lucca, 2018
182018
Qpalm: A proximal augmented lagrangian method for nonconvex quadratic programs
B Hermans, A Themelis, P Patrinos
Mathematical Programming Computation, 1-45, 2022
172022
Block-coordinate and incremental aggregated nonconvex proximal gradient methods: a unified view
P Latafat, A Themelis, P Patrinos
Mathematical Programming, 2021
17*2021
Proximal Gradient Algorithms under Local Lipschitz Gradient Continuity
A De Marchi, A Themelis
Journal of Optimization Theory and Applications, 1-24, 2022
162022
Newton-type alternating minimization algorithm for convex optimization
L Stella, A Themelis, P Patrinos
IEEE Transactions on Automatic Control 64 (2), 697-711, 2018
152018
Bregman finito/miso for nonconvex regularized finite sum minimization without lipschitz gradient continuity
P Latafat, A Themelis, M Ahookhosh, P Patrinos
SIAM Journal on Optimization 32 (3), 2230-2262, 2022
132022
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient
P Latafat, A Themelis, L Stella, P Patrinos
arXiv preprint arXiv:2301.04431, 2023
112023
Neural Network Training as an Optimal Control Problem:—An Augmented Lagrangian Approach—
B Evens, P Latafat, A Themelis, J Suykens, P Patrinos
2021 60th IEEE Conference on Decision and Control (CDC), 5136-5143, 2021
112021
Douglas–Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms
A Themelis, L Stella, P Patrinos
Computational Optimization and Applications 82 (2), 395-440, 2022
92022
A new envelope function for nonsmooth DC optimization
A Themelis, B Hermans, P Patrinos
2020 59th IEEE Conference on Decision and Control (CDC), 4697-4702, 2020
62020
AdaBiM: An adaptive proximal gradient method for structured convex bilevel optimization
P Latafat, A Themelis, S Villa, P Patrinos
arXiv preprint arXiv:2305.03559, 2023
42023
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