Puya Latafat

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All published works

Action	Title	Year	Authors
+	Convergence of the preconditioned proximal point method and Douglas–Rachford splitting in the absence of monotonicity	2025	Brecht Evens Pieter Pas Puya Latafat Panagiotis Patrinos
+	On the Convergence of Proximal Gradient Methods for Convex Simple Bilevel Optimization	2025	Puya Latafat Andreas Themelis Silvia Villa Panagiotis Patrinos
+ PDF Chat	A Lyapunov analysis of Korpelevich's extragradient method with fast and flexible extensions	2025	Manu Upadhyaya Puya Latafat Pontus Giselsson
+	Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient	2024	Puya Latafat Andreas Themelis Lorenzo Stella Panagiotis Patrinos
+	SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization	2024	Pourya Behmandpoor Puya Latafat Andreas Themelis Marc Moonen Panagiotis Patrinos
+ PDF Chat	Adaptive proximal gradient methods are universal without approximation	2024	Konstantinos A. Oikonomidis Emanuel Laude Puya Latafat Andreas Themelis Panagiotis Patrinos
+	Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient	2023	Puya Latafat Andreas Themelis Lorenzo Stella Panagiotis Patrinos
+	Solving stochastic weak Minty variational inequalities without increasing batch size	2023	Thomas Pethick Olivier Fercoq Puya Latafat Panagiotis Patrinos Volkan Cevher
+	Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems	2023	Thomas Pethick Puya Latafat Panagiotis Patrinos Olivier Fercoq Volkan Cevher
+	AdaBiM: An adaptive proximal gradient method for structured convex bilevel optimization	2023	Puya Latafat Andreas Themelis Silvia Villa Panagiotis Patrinos
+	Convergence of the Preconditioned Proximal Point Method and Douglas-Rachford Splitting in the Absence of Monotonicity	2023	Brecht Evens Pieter Pas Puya Latafat Panagiotis Patrinos
+	On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms	2023	Puya Latafat Andreas Themelis Panagiotis Patrinos
+	Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity	2023	Brecht Evens Puya Latafat Panagiotis Patrinos
+ PDF Chat	Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity	2022	Puya Latafat Andreas Themelis Masoud Ahookhosh Panagiotis Patrinos
+ PDF Chat	Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays	2022	Puya Latafat Panagiotis Patrinos
+	SPIRAL: A Superlinearly Convergent Incremental Proximal Algorithm for Nonconvex Finite Sum Minimization	2022	Pourya Behmandpoor Puya Latafat Andreas Themelis Marc Moonen Panagiotis Patrinos
+ PDF Chat	Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems	2022	Thomas Pethick Puya Latafat Panagiotis Patrinos Olivier Fercoq Volkan Cevher
+ PDF Chat	Neural Network Training as an Optimal Control Problem : — An Augmented Lagrangian Approach —	2021	Brecht Evens Puya Latafat Andreas Themelis Johan A. K. Suykens Panagiotis Patrinos
+	Neural Network Training as an Optimal Control Problem: An Augmented Lagrangian Approach	2021	Brecht Evens Puya Latafat Andreas Themelis Johan A. K. Suykens Panagiotis Patrinos
+ PDF Chat	Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems	2021	Puya Latafat Andreas Themelis Panagiotis Patrinos
+	Bregman Finito/MISO for nonconvex regularized finite sum minimization without Lipschitz gradient continuity	2021	Puya Latafat Andreas Themelis Masoud Ahookhosh Panagiotis Patrinos
+	Block-coordinate and incremental aggregated nonconvex proximal gradient methods: a unified view	2019	Puya Latafat Andreas Themelis Panagiotis Patrinos
+ PDF Chat	A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization	2019	Puya Latafat Nikolaos M. Freris Panagiotis Patrinos
+ PDF Chat	Primal-Dual Proximal Algorithms for Structured Convex Optimization: A Unifying Framework	2018	Puya Latafat Panagiotis Patrinos
+	Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays	2018	Puya Latafat Panagiotis Patrinos
+	A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization	2017	Puya Latafat Nikolaos M. Freris Panagiotis Patrinos
+ PDF Chat	Asymmetric forward–backward–adjoint splitting for solving monotone inclusions involving three operators	2017	Puya Latafat Panagiotis Patrinos
+	A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization	2017	Puya Latafat Nikolaos M. Freris Panagiotis Patrinos
+ PDF Chat	New primal-dual proximal algorithm for distributed optimization	2016	Puya Latafat Lorenzo Stella Panagiotis Patrinos
+	Newton-type operator splitting algorithms	2016	Andreas Themelis Puya Latafat Panos Patrinos
+	New Primal-Dual Proximal Algorithm for Distributed Optimization	2016	Puya Latafat Lorenzo Stella Panagiotis Patrinos
+	Asymmetric Forward-Backward-Adjoint Splitting for Solving Monotone Inclusions Involving Three Operators	2016	Puya Latafat Panagiotis Patrinos
+	New Primal-Dual Proximal Algorithm for Distributed Optimization	2016	Puya Latafat Lorenzo Stella Panagiotis Patrinos
+	Asymmetric Forward-Backward-Adjoint Splitting for Solving Monotone Inclusions Involving Three Operators	2016	Puya Latafat Panagiotis Patrinos

Common Coauthors

Coauthor	Papers Together
Panagiotis Patrinos	32
Andreas Themelis	15
Brecht Evens	5
Lorenzo Stella	3
Nikolaos M. Freris	3
Volkan Cevher	3
Olivier Fercoq	3
Johan A. K. Suykens	2
Pourya Behmandpoor	2
Lorenzo Stella	2
Thomas Pethick	2
Marc Moonen	2
Silvia Villa	2
Pieter Pas	2
Masoud Ahookhosh	2
Panos Patrinos	1
Thomas Pethick	1
Emanuel Laude	1
Pontus Giselsson	1
Manu Upadhyaya	1
Konstantinos A. Oikonomidis	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Convex Analysis and Monotone Operator Theory in Hilbert Spaces	2017	Heinz H. Bauschke Patrick L. Combettes	10
+	A Primal–Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms	2012	Laurent Condat	10
+ PDF Chat	A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging	2010	Antonin Chambolle Thomas Pock	9
+ PDF Chat	Primal-Dual Splitting Algorithm for Solving Inclusions with Mixtures of Composite, Lipschitzian, and Parallel-Sum Type Monotone Operators	2011	Patrick L. Combettes Jean‐Christophe Pesquet	8
+ PDF Chat	A splitting algorithm for dual monotone inclusions involving cocoercive operators	2011	Bằng Công Vũ	8
+ PDF Chat	A Monotone+Skew Splitting Model for Composite Monotone Inclusions in Duality	2011	Luis M. Briceño-Arias Patrick L. Combettes	8
+ PDF Chat	Asymmetric forward–backward–adjoint splitting for solving monotone inclusions involving three operators	2017	Puya Latafat Panagiotis Patrinos	7
+	A Convergence Theorem for Non Negative Almost Supermartingales and Some Applications	1985	Herbert Robbins David Siegmund	6
+ PDF Chat	Proximal Splitting Methods in Signal Processing	2011	Patrick L. Combettes Jean‐Christophe Pesquet	6
+	A simple algorithm for a class of nonsmooth convex–concave saddle-point problems	2015	Yoel Drori Shoham Sabach Marc Teboulle	6
+ PDF Chat	A Coordinate Descent Primal-Dual Algorithm and Application to Distributed Asynchronous Optimization	2015	Pascal Bianchi Walid Hachem Franck Iutzeler	6
+	A Class of Randomized Primal-Dual Algorithms for Distributed Optimization	2014	Jean‐Christophe Pesquet Audrey Repetti	6
+	First-Order Methods in Optimization	2017	Amir Beck	5
+ PDF Chat	Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate	2018	Aryan Mokhtari Mert Gürbüzbalaban Alejandro Ribeiro	5
+ PDF Chat	Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning	2015	Julien Mairal	5
+ PDF Chat	Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems	2012	Yu. Nesterov	5
+ PDF Chat	New primal-dual proximal algorithm for distributed optimization	2016	Puya Latafat Lorenzo Stella Panagiotis Patrinos	5
+ PDF Chat	Clarke Subgradients of Stratifiable Functions	2007	Jérôme Bolte Aris Daniilidis Adrian S. Lewis Masahiro Shiota	5
+	Proximal alternating linearized minimization for nonconvex and nonsmooth problems	2013	Jérôme Bolte Shoham Sabach Marc Teboulle	5
+	Finite-Dimensional Variational Inequalities and Complementarity Problems	2004	Francisco Facchinei Jong‐Shi Pang	5
+ PDF Chat	On gradients of functions definable in o-minimal structures	1998	Krzysztof Kurdyka	5
+	Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective	2012	Bingsheng He Xiaoming Yuan	5
+	The Elements of Statistical Learning	2001	Trevor Hastie J. Friedman Robert Tibshirani	5
+ PDF Chat	SuperMann: A Superlinearly Convergent Algorithm for Finding Fixed Points of Nonexpansive Operators	2019	Andreas Themelis Panagiotis Patrinos	4
+ PDF Chat	Proximal-Like Incremental Aggregated Gradient Method with Linear Convergence Under Bregman Distance Growth Conditions	2020	Hui Zhang Yu‐Hong Dai Lei Guo Wei Peng	4
+ PDF Chat	A Geometric Analysis of Phase Retrieval	2017	Ju Sun Qing Qu John Wright	4
+ PDF Chat	A Descent Lemma Beyond Lipschitz Gradient Continuity: First-Order Methods Revisited and Applications	2016	Heinz H. Bauschke Jérôme Bolte Marc Teboulle	4
+	A simplified view of first order methods for optimization	2018	Marc Teboulle	4
+ PDF Chat	Primal-Dual Proximal Algorithms for Structured Convex Optimization: A Unifying Framework	2018	Puya Latafat Panagiotis Patrinos	4
+ PDF Chat	Asynchronous distributed optimization using a randomized alternating direction method of multipliers	2013	Franck Iutzeler Pascal Bianchi Philippe Ciblat Walid Hachem	4
+ PDF Chat	Relatively Smooth Convex Optimization by First-Order Methods, and Applications	2018	Haihao Lu Robert M. Freund Yurii Nesterov	4
+ PDF Chat	A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima	2021	Masoud Ahookhosh Andreas Themelis Panagiotis Patrinos	4
+	Convex Analysis and Monotone Operator Theory in Hilbert Spaces	2011	Heinz H. Bauschke Patrick L. Combettes	4
+	Finito: A Faster, Permutable Incremental Gradient Method for Big Data Problems	2014	Aaron Defazio Justin Domke Tibério S. Caetano	4
+	An Inexact Hybrid Generalized Proximal Point Algorithm and Some New Results on the Theory of Bregman Functions	2000	M. V. Solodov B. F. Svaiter	4
+ PDF Chat	On Stochastic Subgradient Mirror-Descent Algorithm with Weighted Averaging	2014	Angelia Nedić Soomin Lee	4
+ PDF Chat	Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations with Random Sweeping	2015	Patrick L. Combettes Jean‐Christophe Pesquet	4
+ PDF Chat	A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization	2019	Puya Latafat Nikolaos M. Freris Panagiotis Patrinos	4
+ PDF Chat	First Order Methods Beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems	2018	Jérôme Bolte Shoham Sabach Marc Teboulle Yakov Vaisbourd	4
+	Convergence Analysis of a Proximal-Like Minimization Algorithm Using Bregman Functions	1993	Gong Chen Marc Teboulle	4
+	The Moreau envelope function and proximal mapping in the sense of the Bregman distance	2011	Chao Kan Wen Song	4
+	On the Acceleration of Forward-Backward Splitting via an Inexact Newton Method	2019	Andreas Themelis Masoud Ahookhosh Panagiotis Patrinos	4
+	Implicit Functions and Solution Mappings	2014	Asen L. Dontchev R. T. Rockafellar	4
+	SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives	2014	Aaron Defazio Francis Bach Simon Lacoste-Julien	4
+	Gradient methods for minimizing composite functions	2012	Yu. Nesterov	4
+	Mirror descent and nonlinear projected subgradient methods for convex optimization	2003	Amir Beck Marc Teboulle	4
+ PDF Chat	Convergence rates with inexact non-expansive operators	2015	Jingwei Liang Jalal Fadili Gabriel Peyré	4
+ PDF Chat	Incremental proximal methods for large scale convex optimization	2011	Dimitri P. Bertsekas	4
+ PDF Chat	Global Convergence Rate of Proximal Incremental Aggregated Gradient Methods	2018	N. Denizcan Vanli Mert Gürbüzbalaban Asuman Ozdaglar	4
+ PDF Chat	Minimizing finite sums with the stochastic average gradient	2016	Mark Schmidt Nicolas Le Roux Francis Bach	4