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：2023.06.15

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.	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].
2.	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].
3.	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].
4.	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].
5.	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].
6.	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].
7.	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.
8.	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].
9.	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].
10.	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].
11.	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].
12.	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].
13.	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].
14.	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].
15.	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].
16.	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].
17.	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].
18.	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].
19.	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].
20.	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].
21.	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].
22.	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].
23.	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].
24.	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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