Andreas Themelis

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 31

Top Topics

Globally Convergent

Augmented Lagrangian

Alternating Minimization

Nonlinear Model Predictive Control

Top Venues

Comput. Optim. Appl.

Publications

Ou Hongjia, Andreas Themelis
Safeguarding adaptive methods: global convergence of Barzilai-Borwein and other stepsize choices. CoRR (2024)
Puya Latafat, Andreas Themelis, Panagiotis Patrinos
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. L4DC (2024)
Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos
SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization. Comput. Optim. Appl. 88 (1) (2024)
Konstantinos A. Oikonomidis, Emanuel Laude, Puya Latafat, Andreas Themelis, Panagiotis Patrinos
Adaptive proximal gradient methods are universal without approximation. CoRR (2024)
Puya Latafat, Andreas Themelis, Panagiotis Patrinos
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. CoRR (2023)
Puya Latafat, Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. CoRR (2023)
Emanuel Laude, Andreas Themelis, Panagiotis Patrinos
Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy. SIAM J. Optim. 33 (4) (2023)
Ben Hermans, Andreas Themelis, Panagiotis Patrinos
QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs. Math. Program. Comput. 14 (3) (2022)
Alberto De Marchi, Andreas Themelis
Proximal Gradient Algorithms Under Local Lipschitz Gradient Continuity. J. Optim. Theory Appl. 194 (3) (2022)
Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms. Comput. Optim. Appl. 82 (2) (2022)
Puya Latafat, Andreas Themelis, Panagiotis Patrinos
Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems. Math. Program. 193 (1) (2022)
Aneek Nag, Shuo Huang, Andreas Themelis, Kaoru Yamamoto
Flock navigation with dynamic hierarchy and subjective weights using nonlinear MPC. CCTA (2022)
Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos
SPIRAL: A Superlinearly Convergent Incremental Proximal Algorithm for Nonconvex Finite Sum Minimization. CoRR (2022)
Pieter Pas, Andreas Themelis, Panagiotis Patrinos
Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control. CoRR (2022)
Puya Latafat, Andreas Themelis, Masoud Ahookhosh, Panagiotis Patrinos
Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity. SIAM J. Optim. 32 (3) (2022)
Masoud Ahookhosh, Andreas Themelis, Panagiotis Patrinos
A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima. SIAM J. Optim. 31 (1) (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 -. CDC (2021)
Miguel Simões, Andreas Themelis, Panagiotis Patrinos
Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. EUSIPCO (2021)
Miguel Simões, Andreas Themelis, Panagiotis Patrinos
Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. CoRR (2021)
Andreas Themelis, Panagiotis Patrinos
Douglas-Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results. SIAM J. Optim. 30 (1) (2020)
Andreas Themelis, Ben Hermans, Panagiotis Patrinos
A new envelope function for nonsmooth DC optimization. CDC (2020)
Nico Vervliet, Andreas Themelis, Panagiotis Patrinos, Lieven De Lathauwer
A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition. EUSIPCO (2020)
Ben Hermans, Andreas Themelis, Panagiotis Patrinos
QPALM: A Newton-type Proximal Augmented Lagrangian Method for Quadratic Programs. CDC (2019)
Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos
Newton-Type Alternating Minimization Algorithm for Convex Optimization. IEEE Trans. Autom. Control. 64 (2) (2019)
Andreas Themelis, Panagiotis Patrinos
SuperMann: A Superlinearly Convergent Algorithm for Finding Fixed Points of Nonexpansive Operators. IEEE Trans. Autom. Control. 64 (12) (2019)
Andreas Themelis, Lorenzo Stella, Panagiotis Patrinos
Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms. SIAM J. Optim. 28 (3) (2018)
Ajay Sathya, Pantelis Sopasakis, Ruben Van Parys, Andreas Themelis, Goele Pipeleers, Panagiotis Patrinos
Embedded nonlinear model predictive control for obstacle avoidance using PANOC. ECC (2018)
Pantelis Sopasakis, Andreas Themelis, Johan A. K. Suykens, Panagiotis Patrinos
A primal-dual line search method and applications in image processing. EUSIPCO (2017)
Lorenzo Stella, Andreas Themelis, Pantelis Sopasakis, Panagiotis Patrinos
A simple and efficient algorithm for nonlinear model predictive control. CDC (2017)
Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos
Forward-backward quasi-Newton methods for nonsmooth optimization problems. Comput. Optim. Appl. 67 (3) (2017)
Andreas Themelis, Silvia Villa, Panagiotis Patrinos, Alberto Bemporad
Stochastic gradient methods for stochastic model predictive control. ECC (2016)
Andreas Themelis
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. 4 (3) (2013)
Andreas Themelis
: the future of online distribution under competition policy. Int. J. Law Inf. Technol. 20 (4) (2012)