| Asymmetric forward–backward–adjoint splitting for solving monotone inclusions involving three operators P Latafat, P Patrinos Computational Optimization and Applications 68, 57-93, 2017 | 117 | 2017 |
| A new randomized block-coordinate primal-dual proximal algorithm for distributed optimization P Latafat, NM Freris, P Patrinos IEEE Transactions on Automatic Control 64 (10), 4050-4065, 2019 | 83 | 2019 |
| Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems T Pethick, P Latafat, P Patrinos, O Fercoq, V Cevher International Conference on Learning Representations, 2022 | 58 | 2022 |
| Solving stochastic weak minty variational inequalities without increasing batch size T Pethick, O Fercoq, P Latafat, P Patrinos, V Cevher arXiv preprint arXiv:2302.09029, 2023 | 25 | 2023 |
| New primal-dual proximal algorithm for distributed optimization P Latafat, L Stella, P Patrinos 2016 IEEE 55th Conference on Decision and Control (CDC), 1959-1964, 2016 | 22 | 2016 |
| Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems P Latafat, A Themelis, P Patrinos Mathematical Programming 193 (1), 195-224, 2022 | 18 | 2022 |
| 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, 4, 2023 | 16 | 2023 |
| Primal-dual proximal algorithms for structured convex optimization: A unifying framework P Latafat, P Patrinos Large-Scale and Distributed Optimization, 97-120, 2018 | 14 | 2018 |
| 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 | 13 | 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 | 13 | 2021 |
| Multi-agent structured optimization over message-passing architectures with bounded communication delays P Latafat, P Patrinos 2018 IEEE Conference on Decision and Control (CDC), 1688-1693, 2018 | 9 | 2018 |
| Convergence of the preconditioned proximal point method and Douglas-Rachford splitting in the absence of monotonicity B Evens, P Pas, P Latafat, P Patrinos arXiv preprint arXiv:2305.03605, 2023 | 7 | 2023 |
| An LMI-based controller for the glucose-insulin system P Latafat, P Palumbo, P Pepe, L Kovác, S Panunzi, A De Gaetano 2015 European Control Conference (ECC), 7-12, 2015 | 7 | 2015 |
| On the convergence of proximal gradient methods for convex simple bilevel optimization P Latafat, A Themelis, S Villa, P Patrinos arXiv preprint arXiv:2305.03559, 2023 | 6* | 2023 |
| On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms P Latafat, A Themelis, P Patrinos 6th Annual Learning for Dynamics & Control Conference, 197-208, 2024 | 5 | 2024 |
| Plug and play distributed model predictive control with dynamic coupling: A randomized primal-dual proximal algorithm P Latafat, A Bemporad, P Patrinos 2018 European Control Conference (ECC), 1160-1165, 2018 | 5 | 2018 |
| Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays P Latafat, P Patrinos Optimization Methods and Software 37 (6), 2052-2079, 2022 | 4 | 2022 |
| Adaptive proximal gradient methods are universal without approximation KA Oikonomidis, E Laude, P Latafat, A Themelis, P Patrinos arXiv preprint arXiv:2402.06271, 2024 | 2 | 2024 |
| SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization P Behmandpoor, P Latafat, A Themelis, M Moonen, P Patrinos Computational Optimization and Applications 88 (1), 71-106, 2024 | 1 | 2024 |
| Distributed proximal algorithms for large-scale structured optimization P Latafat IMT School for Advanced Studies Lucca, 2020 | 1 | 2020 |
Panagiotis PatrinosAssociate Professor, KU LeuvenΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα esat.kuleuven.be
