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Puya Latafat
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Year
Asymmetric forward–backward–adjoint splitting for solving monotone inclusions involving three operators
P Latafat, P Patrinos
Computational Optimization and Applications 68, 57-93, 2017
1192017
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
882019
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
592022
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
262023
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
222016
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient
P Latafat, A Themelis, L Stella, P Patrinos
Mathematical Programming, 1-39, 2024
202024
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
202022
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
152021
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
142022
Primal-dual proximal algorithms for structured convex optimization: A unifying framework
P Latafat, P Patrinos
Large-Scale and Distributed Optimization, 97-120, 2018
142018
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
92018
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
82024
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
72023
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
72015
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
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
62022
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
52018
Adaptive proximal gradient methods are universal without approximation
KA Oikonomidis, E Laude, P Latafat, A Themelis, P Patrinos
arXiv preprint arXiv:2402.06271, 2024
42024
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
12024
Distributed proximal algorithms for large-scale structured optimization
P Latafat
IMT School for Advanced Studies Lucca, 2020
12020
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