Puya Latafat

According to our database, Puya Latafat authored at least 16 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive proximal gradient methods are universal without approximation.

Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos

CoRR, 2024

2023

Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity.

Brecht Evens, Puya Latafat, Panagiotis Patrinos

CoRR, 2023

On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms.

Puya Latafat, Andreas Themelis, Panagiotis Patrinos

CoRR, 2023

Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient.

Puya Latafat, Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos

CoRR, 2023

Solving stochastic weak Minty variational inequalities without increasing batch size.

Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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., September, 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

Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems.

Puya Latafat, Andreas Themelis, Panagiotis Patrinos

Math. Program., 2022

SPIRAL: A Superlinearly Convergent Incremental Proximal Algorithm for Nonconvex Finite Sum Minimization.

Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos

CoRR, 2022

Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems.

Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Neural Network Training as an Optimal Control Problem : - An Augmented Lagrangian Approach -.

Brecht Evens, Puya Latafat, Andreas Themelis, Johan A. K. Suykens, Panagiotis Patrinos

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2019

A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization.

Puya Latafat, Nikolaos M. Freris, Panagiotis Patrinos

IEEE Trans. Autom. Control., 2019

2018

Plug and Play Distributed Model Predictive Control with Dynamic Coupling: A Randomized Primal-Dual Proximal Algorithm.

Puya Latafat, Alberto Bemporad, Panagiotis Patrinos

Proceedings of the 16th European Control Conference, 2018

Multi-agent structured optimization over message-passing architectures with bounded communication delays.

Puya Latafat, Panagiotis Patrinos

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Asymmetric forward-backward-adjoint splitting for solving monotone inclusions involving three operators.

Puya Latafat, Panagiotis Patrinos

Comput. Optim. Appl., 2017

2016

New primal-dual proximal algorithm for distributed optimization.

Puya Latafat, Lorenzo Stella, Panagiotis Patrinos

Proceedings of the 55th IEEE Conference on Decision and Control, 2016