An LMI-based controller for the glucose-insulin system. - Puya Latafat; Pasquale Palumbo; Pierdomenico Pepe; Levente Kovács; Simona Panunzi; Andrea De Gaetano (ECC, 2015)

New primal-dual proximal algorithm for distributed optimization. - Puya Latafat; Lorenzo Stella; Panagiotis Patrinos (CDC, 2016)

Asymmetric forward-backward-adjoint splitting for solving monotone inclusions involving three operators. - Puya Latafat; Panagiotis Patrinos (Comput. Optim. Appl., 2017)

Multi-agent structured optimization over message-passing architectures with bounded communication delays. - Puya Latafat; Panagiotis Patrinos (CDC, 2018)

Plug and Play Distributed Model Predictive Control with Dynamic Coupling: A Randomized Primal-Dual Proximal Algorithm. - Puya Latafat; Alberto Bemporad; Panagiotis Patrinos (ECC, 2018)

A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization. - Puya Latafat; Nikolaos M. Freris; Panagiotis Patrinos (IEEE Trans. Autom. Control., 2019)

Neural Network Training as an Optimal Control Problem : - An Augmented Lagrangian Approach -. - Brecht Evens; Puya Latafat; Andreas Themelis; Johan A. K. Suykens; Panagiotis Patrinos (CDC, 2021)

Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. - Thomas Pethick; Puya Latafat; Panos Patrinos; Olivier Fercoq; Volkan Cevher (ICLR, 2022)

Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems. - Puya Latafat; Andreas Themelis; Panagiotis Patrinos (Math. Program., 2022)

Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays. - Puya Latafat; Panagiotis Patrinos (Optim. Methods Softw., 2022)

Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity. - Puya Latafat; Andreas Themelis; Masoud Ahookhosh; Panagiotis Patrinos (SIAM J. Optim., 2022)

Solving stochastic weak Minty variational inequalities without increasing batch size. - Thomas Pethick; Olivier Fercoq; Puya Latafat; Panagiotis Patrinos; Volkan Cevher (ICLR, 2023)

Adaptive Proximal Gradient Methods Are Universal Without Approximation. - Konstantinos A. Oikonomidis; Emanuel Laude; Puya Latafat; Andreas Themelis; Panagiotis Patrinos (ICML, 2024)

On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. - Puya Latafat; Andreas Themelis; Panagiotis Patrinos (L4DC, 2024)

SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization. - Pourya Behmandpoor; Puya Latafat; Andreas Themelis; Marc Moonen; Panagiotis Patrinos (Comput. Optim. Appl., 2024)

On the Convergence of Proximal Gradient Methods for Convex Simple Bilevel Optimization. - Puya Latafat; Andreas Themelis; Silvia Villa; Panagiotis Patrinos (J. Optim. Theory Appl., 2025)

Spingarn's Method and Progressive Decoupling Beyond Elicitable Monotonicity. - Brecht Evens; Puya Latafat; Panagiotis Patrinos (CoRR, 2025)

Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity. - Brecht Evens; Puya Latafat; Panagiotis Patrinos (J. Optim. Theory Appl., 2025)

Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. - Puya Latafat; Andreas Themelis; Lorenzo Stella; Panagiotis Patrinos (Math. Program., 2025)