| Forward-backward quasi-Newton methods for nonsmooth optimization problems L Stella, A Themelis, P Patrinos Computational Optimization and Applications 30 (2), 1-45, 2017 | 132 | 2017 |
| 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 | 117 | 2017 |
| 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 | 102 | 2018 |
| 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 | 93 | 2018 |
| Douglas--Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results A Themelis, P Patrinos SIAM Journal on Optimization 30 (1), 149-181, 2020 | 91 | 2020 |
| 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 | 59 | 2019 |
| 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 | 37* | 2021 |
| 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 | 25 | 2019 |
| 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 | 18 | 2019 |
| Block-coordinate and incremental aggregated nonconvex proximal gradient methods: a unified view P Latafat, A Themelis, P Patrinos Mathematical Programming, 2021 | 15* | 2021 |
| Proximal Algorithms for Structured Nonconvex Optimization A Themelis PhD thesis, KU Leuven/IMT Lucca, 2018 | 15 | 2018 |
| Qpalm: A proximal augmented lagrangian method for nonconvex quadratic programs B Hermans, A Themelis, P Patrinos Mathematical Programming Computation, 1-45, 2022 | 14 | 2022 |
| Newton-type alternating minimization algorithm for convex optimization L Stella, A Themelis, P Patrinos IEEE Transactions on Automatic Control 64 (2), 697-711, 2018 | 14 | 2018 |
| Proximal Gradient Algorithms under Local Lipschitz Gradient Continuity A De Marchi, A Themelis Journal of Optimization Theory and Applications, 1-24, 2022 | 12 | 2022 |
| 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 | 10 | 2022 |
| 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 | 9 | 2021 |
| 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 | 5 | 2020 |
| 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 | 4 | 2023 |
| 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 | 4 | 2022 |
| Stochastic gradient methods for stochastic model predictive control A Themelis, S Villa, P Patrinos, A Bemporad 2016 European Control Conference (ECC), 154-159, 2016 | 4 | 2016 |
Panagiotis (Panos) PatrinosAssociate Professor, KU LeuvenBestätigte E-Mail-Adresse bei esat.kuleuven.be
