九州大学-研究者情報 [セメリスアンドレアス (准教授) システム情報科学研究院電気システム工学部門]

セメリスアンドレアス（セメリスアンドレアス）

データ更新日：2024.04.01

准教授　／　システム情報科学研究院電気システム工学部門

原著論文

1.	Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos, SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization, Computational Optimization and Applications, 10.1007/s10589-023-00550-8, 2024.03, [URL].
2.	Ziyuan Wang, Andreas Themelis, Hongjia Ou, Xianfu Wang, A mirror inertial forward-reflected-backward splitting: Convergence analysis beyond convexity and Lipschitz smoothness, Journal of Optimization Theory and Applications, 10.1007/s10957-024-02383-9, 2024.02, [URL].
3.	Pieter Pas, Andreas Themelis, Panagiotis Patrinos, Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control, IFAC-PapersOnLine, 22nd IFAC World Congress, 10.1016/j.ifacol.2023.10.1254, 56, 2, 4852-4857, 2023.11.
4.	Emanuel Laude, Andreas Themelis, and Panagiotis Patrinos, Dualities for non-Euclidean smoothness and strong convexity under the light of generalized conjugacy, 10.1137/21M1465913, 33, 4, 2721-2749, 2023.10, [URL].
5.	Stephen Hardy, Andreas Themelis, Kaoru Yamamoto, Hakan Ergun and Dirk Van Hertem, Optimal Grid Layouts for Hybrid Offshore Assets in the North Sea under Different Market Designs, 10.1109/TEMPR.2023.3289582, 2023.06.
6.	Aneek Nag, Shuo Huang, Andreas Themelis, Kaoru Yamamoto, Flock navigation with dynamic hierarchy and subjective weights using nonlinear MPC, 2022 IEEE Conference on Control Technology and Applications (CCTA), 10.1109/CCTA49430.2022.9966067, 1135-1140, 2022.12, [URL].
7.	Ryota Kubo, Kaoru Yamamoto, Andreas Themelis, Deadlock avoidance for robot navigation with potential ﬁeld method in an unknown environment, Proceedings of the Japan Joint Automatic Control Conference, 10.11511/jacc.65.0_8, 65, 8-13, 2022.12, [URL].
8.	Puya Latafat, Andreas Themelis, Masoud Ahookhosh, Panagiotis Patrinos, Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity, SIAM Journal on Optimization, 10.1137/21M140376X, 32, 3, 2230-2262, 2022.09, [URL].
9.	Alberto De Marchi, Andreas Themelis, Proximal Gradient Algorithms under Local Lipschitz Gradient Continuity: A Convergence and Robustness Analysis of PANOC, Journal of Optimization Theory and Applications, 10.1007/s10957-022-02048-5, 194, 771-794, 2022.07, [URL].
10.	Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos, Douglas-Rachford splitting and ADMM for nonconvex optimization: Accelerated and Newton-type algorithms, Computational Optimization and Applications, 10.1007/s10589-022-00366-y, 2022.05, [URL].
11.	Ben Hermans and Andreas Themelis and Panagiotis Patrinos, QPALM: A proximal augmented Lagrangian method for nonconvex quadratic programs, Mathematical Programming Computation, 10.1007/s12532-022-00218-0, 2022.03, [URL].
12.	Hongjia Ou, Andreas Themelis, Tsuyoshi Yuno, Taketoshi Kawabe, Douglas-Peucker piecewise affine approximation of an optimal fuel consumption problem to apply PANOC, 2022 SICE International Symposium on Control Systems (SICE ISCS), 10.23919/SICEISCS54350.2022.9754372, 34-38, 2022.03.
13.	Brecht Evens, Puya Latafat, Andreas Themelis, Johan Suykens, Panagiotis Patrinos, Neural network training as an optimal control problem: An augmented Lagrangian approach, 2021 60th IEEE Conference on Decision and Control (CDC), 10.1109/CDC45484.2021.9682842, 5136-5143, 2022.02, [URL].
14.	Miguel Simoes, Andreas Themelis, Panagiotis Patrinos, Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach, 2021 29th European Signal Processing Conference (EUSIPCO), 10.23919/EUSIPCO54536.2021.9616167, 2089-2093, 2021.12, [URL].
15.	Masoud Ahookhosh, Andreas Themelis, Panagiotis Patrinos, A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima, SIAM Journal on Optimization, 10.1137/19M1264783, 31, 1, 653-685, 31(1):653-685, 2021.02, [URL].
16.	Andreas Themelis, Ben Hermans, Panagiotis Patrinos, A new envelope function for nonsmooth DC optimization, 2020 59th IEEE Conference on Decision and Control (CDC), 10.1109/CDC42340.2020.9304514, 4697-4702, 2021.01, [URL].
17.	Puya Latafat, Andreas Themelis, Panagiotis Patrinos, Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems, Mathematical Programming, 10.1007/s10107-020-01599-7, 2021.01, [URL].
18.	Nico Vervliet, Andreas Themelis, Panagiotis Patrinos, Lieven De Lathauwer, A quadratically convergent proximal algorithm for nonnegative tensor decomposition, 2020 28th European Signal Processing Conference (EUSIPCO), 10.23919/Eusipco47968.2020.9287549, 1020-1024, 2020.12, [URL].
19.	Ben Hermans, Andreas Themelis, Panagiotis Patrinos, QPALM: A Newton-type Proximal Augmented Lagrangian Method for Quadratic Programs, 2019 IEEE 58th Conference on Decision and Control (CDC), 10.1109/CDC40024.2019.9030211, 4325-4330, 2020.03, [URL].
20.	Andreas Themelis, Panagiotis Patrinos, Douglas-Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results, SIAM Journal on Optimization, 10.1137/18M1163993, 30, 1, 149-181, 30(1):149-181, 2020.01, [URL].
21.	Andreas Themelis, Panagiotis Patrinos, SuperMann: A Superlinearly Convergent Algorithm for Finding Fixed Points of Nonexpansive Operators, IEEE Transactions on Automatic Control, 10.1109/TAC.2019.2906393, 64, 12, 4875-4890, 64(12):4875-4890, 2019.12, [URL].
22.	Andreas Themelis, Masoud Ahookhosh, Panagiotis Patrinos, On the Acceleration of Forward-Backward Splitting via an Inexact Newton Method, Splitting Algorithms, Modern Operator Theory, and Applications, 10.1007/978-3-030-25939-6_15, 363-412, 2019.11, [URL].
23.	Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos, Newton-Type Alternating Minimization Algorithm for Convex Optimization, IEEE Transactions on Automatic Control, 10.1109/TAC.2018.2872203, 64, 2, 697-711, 64(2):697-711, 2019.02, [URL].
24.	Ajay Sathya, Pantelis Sopasakis, Ruben Van Parys, Andreas Themelis, Goele Pipeleers, Panagiotis Patrinos, Embedded nonlinear model predictive control for obstacle avoidance using PANOC, 2018 European Control Conference (ECC), 10.23919/ECC.2018.8550253, 1523-1528, 2018.11, [URL].
25.	Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos, Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms, SIAM Journal on Optimization, 10.1137/16M1080240, 28, 3, 2274-2303, 28(3):2274-2303, 2018.08, [URL].
26.	Lorenzo Stella, Andreas Themelis, Pantelis Sopasakis, Panagiotis Patrinos, A simple and efficient algorithm for nonlinear model predictive control, 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 10.1109/CDC.2017.8263933, 1939-1944, 2018.01, [URL].
27.	Pantelis Sopasakis, Andreas Themelis, Johan Suykens, Panagiotis Patrinos, A primal-dual line search method and applications in image processing, 2017 25th European Signal Processing Conference (EUSIPCO), 10.23919/EUSIPCO.2017.8081371, 1065-1069, 2017.10, [URL].
28.	Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos, Forward–backward quasi-Newton methods for nonsmooth optimization problems, Computational Optimization and Applications, 10.1007/s10589-017-9912-y, 67, 443-487, 67:443-487, 2017.04, [URL].
29.	Andreas Themelis, Silvia Villa, Panagiotis Patrinos, Alberto Bemporad, Stochastic gradient methods for stochastic model predictive control, 2016 European Control Conference (ECC), 10.1109/ECC.2016.7810279, 154-159, 2017.01, [URL].

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