Puya Latafat - RankMe

27 papers A* 3Journal 18Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. Math. Program. Puya Latafat, Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
2025	J	`jnl`	Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity. J. Optim. Theory Appl. Brecht Evens, Puya Latafat, Panagiotis Patrinos
2025	J	`jnl`	Convergence of the preconditioned proximal point method and Douglas-Rachford splitting in the absence of monotonicity. Math. Program. Brecht Evens, Pieter Pas, Puya Latafat, Panagiotis Patrinos
2025	J	`jnl`	On the Convergence of Proximal Gradient Methods for Convex Simple Bilevel Optimization. J. Optim. Theory Appl. Puya Latafat, Andreas Themelis, Silvia Villa, Panagiotis Patrinos
2025	J	`jnl`	Spingarn's Method and Progressive Decoupling Beyond Elicitable Monotonicity. CoRR Brecht Evens, Puya Latafat, Panagiotis Patrinos
2024	A*	`conf`	Adaptive Proximal Gradient Methods Are Universal Without Approximation. ICML Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos
2024	J	`jnl`	Adaptive proximal gradient methods are universal without approximation. CoRR Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos
2024	—	`conf`	On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. L4DC Puya Latafat, Andreas Themelis, Panagiotis Patrinos
2024	J	`jnl`	SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization. Comput. Optim. Appl. Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos
2023	J	`jnl`	Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. CoRR Puya Latafat, Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
2023	J	`jnl`	Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity. CoRR Brecht Evens, Puya Latafat, Panagiotis Patrinos
2023	J	`jnl`	Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. CoRR Thomas Pethick, Puya Latafat, Panagiotis Patrinos, Olivier Fercoq, Volkan Cevher
2023	J	`jnl`	On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. CoRR Puya Latafat, Andreas Themelis, Panagiotis Patrinos
2023	A*	`conf`	Solving stochastic weak Minty variational inequalities without increasing batch size. ICLR Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
2023	J	`jnl`	Solving stochastic weak Minty variational inequalities without increasing batch size. CoRR Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
2022	J	`jnl`	Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems. Math. Program. Puya Latafat, Andreas Themelis, Panagiotis Patrinos
2022	J	`jnl`	Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity. SIAM J. Optim. Puya Latafat, Andreas Themelis, Masoud Ahookhosh, Panagiotis Patrinos
2022	A*	`conf`	Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. ICLR Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher
2022	J	`jnl`	Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays. Optim. Methods Softw. Puya Latafat, Panagiotis Patrinos
2022	J	`jnl`	SPIRAL: A Superlinearly Convergent Incremental Proximal Algorithm for Nonconvex Finite Sum Minimization. CoRR Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos
2021	—	`conf`	Neural Network Training as an Optimal Control Problem : - An Augmented Lagrangian Approach -. CDC Brecht Evens, Puya Latafat, Andreas Themelis, Johan A. K. Suykens, Panagiotis Patrinos
2019	J	`jnl`	A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization. IEEE Trans. Autom. Control. Puya Latafat, Nikolaos M. Freris, Panagiotis Patrinos
2018	—	`conf`	Multi-agent structured optimization over message-passing architectures with bounded communication delays. CDC Puya Latafat, Panagiotis Patrinos
2018	—	`conf`	Plug and Play Distributed Model Predictive Control with Dynamic Coupling: A Randomized Primal-Dual Proximal Algorithm. ECC Puya Latafat, Alberto Bemporad, Panagiotis Patrinos
2017	J	`jnl`	Asymmetric forward-backward-adjoint splitting for solving monotone inclusions involving three operators. Comput. Optim. Appl. Puya Latafat, Panagiotis Patrinos
2016	—	`conf`	New primal-dual proximal algorithm for distributed optimization. CDC Puya Latafat, Lorenzo Stella, Panagiotis Patrinos
2015	—	`conf`	An LMI-based controller for the glucose-insulin system. ECC Puya Latafat, Pasquale Palumbo, Pierdomenico Pepe, Levente Kovács, Simona Panunzi, Andrea De Gaetano