Puya Latafat

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 20

Top Topics

Global Convergence

Alternating Minimization

Predictive Control

Top Venues

Comput. Optim. Appl.

Publications

Puya Latafat, Andreas Themelis, Panagiotis Patrinos
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. L4DC (2024)
Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos
SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization. Comput. Optim. Appl. 88 (1) (2024)
Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos
Adaptive proximal gradient methods are universal without approximation. CoRR (2024)
Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
Solving stochastic weak Minty variational inequalities without increasing batch size. CoRR (2023)
Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
Solving stochastic weak Minty variational inequalities without increasing batch size. ICLR (2023)
Brecht Evens, Puya Latafat, Panagiotis Patrinos
Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity. CoRR (2023)
Thomas Pethick, Puya Latafat, Panagiotis Patrinos, Olivier Fercoq, Volkan Cevher
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. CoRR (2023)
Puya Latafat, Andreas Themelis, Panagiotis Patrinos
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. CoRR (2023)
Puya Latafat, Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. CoRR (2023)
Puya Latafat, Panagiotis Patrinos
Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays. Optim. Methods Softw. 37 (6) (2022)
Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. ICLR (2022)
Puya Latafat, Andreas Themelis, Panagiotis Patrinos
Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems. Math. Program. 193 (1) (2022)
Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos
SPIRAL: A Superlinearly Convergent Incremental Proximal Algorithm for Nonconvex Finite Sum Minimization. CoRR (2022)
Puya Latafat, Andreas Themelis, Masoud Ahookhosh, Panagiotis Patrinos
Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity. SIAM J. Optim. 32 (3) (2022)
Brecht Evens, Puya Latafat, Andreas Themelis, Johan A. K. Suykens, Panagiotis Patrinos
Neural Network Training as an Optimal Control Problem : - An Augmented Lagrangian Approach -. CDC (2021)
Puya Latafat, Nikolaos M. Freris, Panagiotis Patrinos
A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization. IEEE Trans. Autom. Control. 64 (10) (2019)
Puya Latafat, Panagiotis Patrinos
Multi-agent structured optimization over message-passing architectures with bounded communication delays. CDC (2018)
Puya Latafat, Alberto Bemporad, Panagiotis Patrinos
Plug and Play Distributed Model Predictive Control with Dynamic Coupling: A Randomized Primal-Dual Proximal Algorithm. ECC (2018)
Puya Latafat, Panagiotis Patrinos
Asymmetric forward-backward-adjoint splitting for solving monotone inclusions involving three operators. Comput. Optim. Appl. 68 (1) (2017)
Puya Latafat, Lorenzo Stella, Panagiotis Patrinos
New primal-dual proximal algorithm for distributed optimization. CDC (2016)