After Pierre Fabre: the future of online distribution under competition policy. - Andreas Themelis (Int. J. Law Inf. Technol., 2012)

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)

Stochastic gradient methods for stochastic model predictive control. - Andreas Themelis; Silvia Villa; Panagiotis Patrinos; Alberto Bemporad (ECC, 2016)

A simple and efficient algorithm for nonlinear model predictive control. - Lorenzo Stella; Andreas Themelis; Pantelis Sopasakis; Panagiotis Patrinos (CDC, 2017)

A primal-dual line search method and applications in image processing. - Pantelis Sopasakis; Andreas Themelis; Johan A. K. Suykens; Panagiotis Patrinos (EUSIPCO, 2017)

Forward-backward quasi-Newton methods for nonsmooth optimization problems. - Lorenzo Stella; Andreas Themelis; Panagiotis Patrinos (Comput. Optim. Appl., 2017)

Embedded nonlinear model predictive control for obstacle avoidance using PANOC. - Ajay Sathya; Pantelis Sopasakis; Ruben Van Parys; Andreas Themelis; Goele Pipeleers; Panagiotis Patrinos (ECC, 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)

QPALM: A Newton-type Proximal Augmented Lagrangian Method for Quadratic Programs. - Ben Hermans; Andreas Themelis; Panagiotis Patrinos (CDC, 2019)

Newton-Type Alternating Minimization Algorithm for Convex Optimization. - Lorenzo Stella; Andreas Themelis; Panagiotis Patrinos (IEEE Trans. Autom. Control., 2019)

SuperMann: A Superlinearly Convergent Algorithm for Finding Fixed Points of Nonexpansive Operators. - Andreas Themelis; Panagiotis Patrinos (IEEE Trans. Autom. Control., 2019)

A new envelope function for nonsmooth DC optimization. - Andreas Themelis; Ben Hermans; Panagiotis Patrinos (CDC, 2020)

A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition. - Nico Vervliet; Andreas Themelis; Panagiotis Patrinos; Lieven De Lathauwer (EUSIPCO, 2020)

Douglas-Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results. - Andreas Themelis; Panagiotis Patrinos (SIAM J. Optim., 2020)

Neural Network Training as an Optimal Control Problem : - An Augmented Lagrangian Approach -. - Brecht Evens; Puya Latafat; Andreas Themelis; Johan A. K. Suykens; Panagiotis Patrinos (CDC, 2021)

Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. - Miguel Simões; Andreas Themelis; Panagiotis Patrinos (EUSIPCO, 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)

Flock navigation with dynamic hierarchy and subjective weights using nonlinear MPC. - Aneek Nag; Shuo Huang; Andreas Themelis; Kaoru Yamamoto (CCTA, 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)

Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control. - Pieter Pas; Andreas Themelis; Panagiotis Patrinos (CoRR, 2022)

Proximal Gradient Algorithms Under Local Lipschitz Gradient Continuity. - Alberto De Marchi; Andreas Themelis (J. Optim. Theory Appl., 2022)

Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems. - Puya Latafat; Andreas Themelis; Panagiotis Patrinos (Math. Program., 2022)

QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs. - Ben Hermans; Andreas Themelis; Panagiotis Patrinos (Math. Program. Comput., 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., 2022)

Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy. - Emanuel Laude; Andreas Themelis; Panagiotis Patrinos (SIAM J. Optim., 2023)

Safeguarding adaptive methods: global convergence of Barzilai-Borwein and other stepsize choices. - Ou Hongjia; Andreas Themelis (CoDIT, 2024)

Adaptive Proximal Gradient Methods Are Universal Without Approximation. - Konstantinos A. Oikonomidis; Emanuel Laude; Puya Latafat; Andreas Themelis; Panagiotis Patrinos (ICML, 2024)

On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. - Puya Latafat; Andreas Themelis; Panagiotis Patrinos (L4DC, 2024)

An interior proximal gradient method for nonconvex optimization. - Alberto De Marchi; Andreas Themelis (Open J. Math. Optim., 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., 2024)

A Mirror Inertial Forward-Reflected-Backward Splitting: Convergence Analysis Beyond Convexity and Lipschitz Smoothness. - Ziyuan Wang; Andreas Themelis; Hongjia Ou; Xianfu Wang (J. Optim. Theory Appl., 2024)

On the Convergence of Proximal Gradient Methods for Convex Simple Bilevel Optimization. - Puya Latafat; Andreas Themelis; Silvia Villa; Panagiotis Patrinos (J. Optim. Theory Appl., 2025)

Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. - Puya Latafat; Andreas Themelis; Lorenzo Stella; Panagiotis Patrinos (Math. Program., 2025)