Andreas Themelis

According to our database, Andreas Themelis authored at least 29 papers between 2012 and 2024.

Collaborative distances:

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

2024

SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization.

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

Comput. Optim. Appl., May, 2024

Adaptive proximal gradient methods are universal without approximation.

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

CoRR, 2024

2023

Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy.

Emanuel Laude, Andreas Themelis, Panagiotis Patrinos

SIAM J. Optim., December, 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

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

QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs.

Ben Hermans, Andreas Themelis, Panagiotis Patrinos

Math. Program. Comput., 2022

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

Puya Latafat, Andreas Themelis, Panagiotis Patrinos

Math. Program., 2022

Proximal Gradient Algorithms Under Local Lipschitz Gradient Continuity.

Alberto De Marchi, Andreas Themelis

J. Optim. Theory Appl., 2022

Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control.

Pieter Pas, Andreas Themelis, Panagiotis Patrinos

CoRR, 2022

Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms.

Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos

Comput. Optim. Appl., 2022

Flock navigation with dynamic hierarchy and subjective weights using nonlinear MPC.

Aneek Nag, Shuo Huang, Andreas Themelis, Kaoru Yamamoto

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

2021

A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima.

Masoud Ahookhosh, Andreas Themelis, Panagiotis Patrinos

SIAM J. Optim., 2021

Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach.

Miguel Simões, Andreas Themelis, Panagiotis Patrinos

Proceedings of the 29th European Signal Processing Conference, 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

2020

Douglas-Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results.

Andreas Themelis, Panagiotis Patrinos

SIAM J. Optim., 2020

A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition.

Nico Vervliet, Andreas Themelis, Panagiotis Patrinos, Lieven De Lathauwer

Proceedings of the 28th European Signal Processing Conference, 2020

A new envelope function for nonsmooth DC optimization.

Andreas Themelis, Ben Hermans, Panagiotis Patrinos

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

SuperMann: A Superlinearly Convergent Algorithm for Finding Fixed Points of Nonexpansive Operators.

Andreas Themelis, Panagiotis Patrinos

IEEE Trans. Autom. Control., 2019

Newton-Type Alternating Minimization Algorithm for Convex Optimization.

Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos

IEEE Trans. Autom. Control., 2019

QPALM: A Newton-type Proximal Augmented Lagrangian Method for Quadratic Programs.

Ben Hermans, Andreas Themelis, Panagiotis Patrinos

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms.

Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos

SIAM J. Optim., 2018

Embedded nonlinear model predictive control for obstacle avoidance using PANOC.

Ajay Sathya, Pantelis Sopasakis, Ruben Van Parys, Andreas Themelis, Goele Pipeleers, Panagiotis Patrinos

Proceedings of the 16th European Control Conference, 2018

2017

Forward-backward quasi-Newton methods for nonsmooth optimization problems.

Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos

Comput. Optim. Appl., 2017

A primal-dual line search method and applications in image processing.

Pantelis Sopasakis, Andreas Themelis, Johan A. K. Suykens, Panagiotis Patrinos

Proceedings of the 25th European Signal Processing Conference, 2017

A simple and efficient algorithm for nonlinear model predictive control.

Lorenzo Stella, Andreas Themelis, Pantelis Sopasakis, Panagiotis Patrinos

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Stochastic gradient methods for stochastic model predictive control.

Andreas Themelis, Silvia Villa, Panagiotis Patrinos, Alberto Bemporad

Proceedings of the 15th European Control Conference, 2016

2013

Information and Intermediation, Abuse of Dominance and Internet 'Neutrality': 'Updating' Competition Policy under the Digital Single Market and the Google Investigations(?).

Andreas Themelis

Eur. J. Law Technol., 2013

2012

After <i>Pierre Fabre</i>: the future of online distribution under competition policy.

Andreas Themelis

Int. J. Law Inf. Technol., 2012