Kyushu University Academic Staff Educational and Research Activities Database
List of Papers
Andreas Themelis Last modified date:2021.06.22

Associate Professor / Department of Electrical Engineering / Faculty of Information Science and Electrical Engineering


Papers
1. 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].
2. 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].
3. 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].
4. 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].
5. 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].
6. 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].
7. 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].
8. 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].
9. 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].
10. 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].
11. 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].
12. 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].
13. 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].
14. 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].
15. 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].