Preprints
- Upadhyaya M., Latafat P., Giselsson P., “A Lyapunov analysis of Korpelevich’s extragradient method with fast and flexible extensions” arXiv:2502.00119, 2025
- Ou, H., Latafat, P., Themelis, A. (2025). “Linesearch-free adaptive Bregman proximal gradient for convex minimization without relative smoothness” arXiv:2508.01353, 2025
- Evens B., Latafat P., Patrinos P., “Spingarn’s Method and Progressive Decoupling Beyond Elicitable Monotonicity” arXiv:2504.00836, 2025
- Adeoye, A. D., Latafat, P., Bemporad, A., “A proximal augmented Lagrangian method for nonconvex optimization with equality and inequality constraints” arXiv:2509.02894, 2025
Journal papers
- Evens B., Latafat P., Patrinos P., “Convergence of the Chambolle–Pock Algorithm in the Absence of Monotonicity” Journal of Optimization Theory and Applications, 2025
- Latafat P., Themelis A., Stella L., Patrinos P., “Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient” Mathematical Programming, 2024
- Evens B., Pas P., Latafat P., Patrinos P., “Convergence of proximal point algorithm and Douglas–Rachford Splitting in the Absence of Monotonicity” Mathematical Programming, 2025
- Latafat P., Themelis A., Villa S., Patrinos P., “On the convergence of proximal gradient methods for convex
simple bilevel optimization” Journal of Optimization Theory and Applications, 2025
- Behmandpoor P., Latafat P., Themelis A., Moonen M., Patrinos P., “SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization” Computational Optimization and Applications, 88(1), 71–106, 2024
- Latafat P., Themelis A., Patrinos P., “Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems”, Mathematical Programming 193(1):195–224, 2022
- Latafat P., Themelis A., Ahookhosh M., Patrinos P., “Bregman Finito/MISO for nonconvex regularized finite sum minimization without Lipschitz gradient continuity”, SIAM Journal on Optimization 32(3):2230-2262, 2022
- Latafat P., Patrinos P., “Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays”, Optimization Methods and Software 37(6):2052-2079, 2022
- Latafat P., Freris N. M., Patrinos P., “A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization”, IEEE Transactions on Automatic Control, vol. 64, no. 10, Oct. 2019, pp. 4050-4065.
- Latafat P., Patrinos P., “Asymmetric forward-backward-adjoint splitting for solving monotone inclusions involving three operators”, Computational Optimization and Applications, vol. 68, no. 1, Sep. 2017, pp. 57-93.
Conference papers
- Oikonomidis, K. A., Laude, E., Latafat, P., Themelis, A., & Patrinos, P., Adaptive proximal gradient methods are universal without approximation In International Conference on Machine Learning (ICML) 2024
- Latafat, P., Themelis, A., & Patrinos, P., On the convergence of adaptive first order methods: Proximal gradient and alternating minimization algorithms In Proceedings of machine learning research. Learning for Dynamics & Control Conference 2024
- Pethick T., Fercoq Q., Latafat P., Patrinos P., Cevher V., “Solving stochastic weak Minty variational inequalities without increasing batch size” International Conference on Learning Representations, 2023
- Pethick T., Latafat P., Patrinos P., Fercoq Q., Cevher V., “Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems” International Conference on Learning Representations, 2022
- Evens B., Latafat P., Themelis A., Suykens J., Patrinos P., “Neural network training as an optimal control problem: An augmented Lagrangian approach” 2021 60th IEEE Conference on Decision and Control (CDC), 2021
- Latafat P., Patrinos P., “Multi-agent structured optimization over message-passing architectures with bounded communication delays”, in Proc. of the 57th IEEE Conference on Decision and Control (CDC), Miami Beach, Florida, Dec. 2018, pp. 1688-1693.
- Latafat P., Bemporad A., Patrinos P., “Plug and Play Distributed Model Predictive Control with Dynamic Coupling: A Randomized Primal-dual Proximal Algorithm”, in Proc. of the European Control Conference (ECC), Limassol, Cyprus, Jun. 2018, pp. 1160-1165.
- Latafat P., Stella L., Patrinos P., “New primal-dual proximal algorithms for distributed optimization”, in Proc. of the 2016 IEEE 55th Conference on Decision and Control (CDC 2016), Las Vegas, USA, Dec. 2016, pp. 1959-1964.
Contribution to books
- Latafat P., Patrinos P., “Primal-Dual Proximal Algorithms for Structured Convex Optimization: A Unifying Framework”, in Chapter 5 of Large-Scale and Distributed Optimization, (Giselsson P., and Rantzer A., eds.), vol. 2227 of Lecture Notes in Mathematics , Springer International Publishing, pp. 97-120, 2018
PhD Thesis