Puya Latafat
Puya Latafat
PhD student at KU Leuven, IMT Lucca
Verified email at kuleuven.be
Title
Cited by
Cited by
Year
Asymmetric forward–backward–adjoint splitting for solving monotone inclusions involving three operators
P Latafat, P Patrinos
Computational Optimization and Applications 68 (1), 57-93, 2017
372017
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
162019
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
92016
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
82015
Primal-dual proximal algorithms for structured convex optimization: A unifying framework
P Latafat, P Patrinos
Large-Scale and Distributed Optimization, 97-120, 2018
52018
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
32018
Block-coordinate and incremental aggregated nonconvex proximal gradient methods: a unified view
P Latafat, A Themelis, P Patrinos
arXiv preprint arXiv:1906.10053, 2019
22019
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
22018
Block-coordinate and incremental aggregated proximal gradient methods
P Latafat, P Patrinos
International Conference on Continuous Optimization (ICCOPT 2019), Date …, 2019
2019
Asynchronous primal-dual proximal algorithms for large-scale optimization
P Latafat, P Patrinos
23rd International Symposium on Mathematical Programming (ISMP), Date: 2018 …, 2018
2018
Primal-dual proximal algorithms with large stepsizes and their application to distributed optimization
P Latafat, P Patrinos
Proc. of the 36th Benelux meeting on systems and control, 1-1, 2017
2017
A globally and superlinearly convergent algorithm for finding fixed points of nonexpansive operators
A Themelis, P Latafat, P Patrinos
Proc. of the CORE@ 50, 1-1, 2016
2016
New primal-dual proximal algorithms for distributed model predictive control
P Latafat, P Patrinos
4th European Conference on Computational Optimization, 2016
2016
Newton-type operator splitting algorithms
A Themelis, P Latafat, P Patrinos
4th European Conference on Computational Optimization, 2016
2016
Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems
P LATAFAT, A THEMELIS, P PATRINOS
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Articles 1–15