Andreas Themelis

39 papers A* 1C 1Journal 26Unranked 11

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`	On the Convergence of Proximal Gradient Methods for Convex Simple Bilevel Optimization. J. Optim. Theory Appl. Puya Latafat, Andreas Themelis, Silvia Villa, Panagiotis Patrinos
2024	J	`jnl`	A Mirror Inertial Forward-Reflected-Backward Splitting: Convergence Analysis Beyond Convexity and Lipschitz Smoothness. J. Optim. Theory Appl. Ziyuan Wang, Andreas Themelis, Hongjia Ou, Xianfu Wang
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	J	`jnl`	An interior proximal gradient method for nonconvex optimization. Open J. Math. Optim. Alberto De Marchi, Andreas Themelis
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
2024	C	`conf`	Safeguarding adaptive methods: global convergence of Barzilai-Borwein and other stepsize choices. CoDIT Ou Hongjia, Andreas Themelis
2024	J	`jnl`	Safeguarding adaptive methods: global convergence of Barzilai-Borwein and other stepsize choices. CoRR Ou Hongjia, Andreas Themelis
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`	Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy. SIAM J. Optim. Emanuel Laude, Andreas Themelis, Panagiotis Patrinos
2023	J	`jnl`	On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. CoRR Puya Latafat, Andreas Themelis, Panagiotis Patrinos
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	J	`jnl`	Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms. Comput. Optim. Appl. Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
2022	—	`conf`	Flock navigation with dynamic hierarchy and subjective weights using nonlinear MPC. CCTA Aneek Nag, Shuo Huang, Andreas Themelis, Kaoru Yamamoto
2022	J	`jnl`	Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control. CoRR Pieter Pas, Andreas Themelis, Panagiotis Patrinos
2022	J	`jnl`	Proximal Gradient Algorithms Under Local Lipschitz Gradient Continuity. J. Optim. Theory Appl. Alberto De Marchi, Andreas Themelis
2022	J	`jnl`	QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs. Math. Program. Comput. Ben Hermans, Andreas Themelis, 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	J	`jnl`	A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima. SIAM J. Optim. Masoud Ahookhosh, Andreas Themelis, Panagiotis Patrinos
2021	—	`conf`	Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. EUSIPCO Miguel Simões, Andreas Themelis, Panagiotis Patrinos
2021	J	`jnl`	Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. CoRR Miguel Simões, Andreas Themelis, 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
2020	—	`conf`	A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition. EUSIPCO Nico Vervliet, Andreas Themelis, Panagiotis Patrinos, Lieven De Lathauwer
2020	—	`conf`	A new envelope function for nonsmooth DC optimization. CDC Andreas Themelis, Ben Hermans, Panagiotis Patrinos
2020	J	`jnl`	Douglas-Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results. SIAM J. Optim. Andreas Themelis, Panagiotis Patrinos
2019	J	`jnl`	Newton-Type Alternating Minimization Algorithm for Convex Optimization. IEEE Trans. Autom. Control. Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos
2019	—	`conf`	QPALM: A Newton-type Proximal Augmented Lagrangian Method for Quadratic Programs. CDC Ben Hermans, Andreas Themelis, Panagiotis Patrinos
2019	J	`jnl`	SuperMann: A Superlinearly Convergent Algorithm for Finding Fixed Points of Nonexpansive Operators. IEEE Trans. Autom. Control. Andreas Themelis, Panagiotis Patrinos
2018	—	`conf`	Embedded nonlinear model predictive control for obstacle avoidance using PANOC. ECC Ajay Sathya, Pantelis Sopasakis, Ruben Van Parys, Andreas Themelis, Goele Pipeleers, Panagiotis Patrinos
2018	J	`jnl`	Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms. SIAM J. Optim. Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
2017	—	`conf`	A primal-dual line search method and applications in image processing. EUSIPCO Pantelis Sopasakis, Andreas Themelis, Johan A. K. Suykens, Panagiotis Patrinos
2017	—	`conf`	A simple and efficient algorithm for nonlinear model predictive control. CDC Lorenzo Stella, Andreas Themelis, Pantelis Sopasakis, Panagiotis Patrinos
2017	J	`jnl`	Forward-backward quasi-Newton methods for nonsmooth optimization problems. Comput. Optim. Appl. Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos
2016	—	`conf`	Stochastic gradient methods for stochastic model predictive control. ECC Andreas Themelis, Silvia Villa, Panagiotis Patrinos, Alberto Bemporad
2013	J	`jnl`	Information and Intermediation, Abuse of Dominance and Internet 'Neutrality': 'Updating' Competition Policy under the Digital Single Market and the Google Investigations(?). Eur. J. Law Technol. Andreas Themelis
2012	J	`jnl`	After Int. J. Law Inf. Technol. Andreas Themelis