Andreas Themelis
Orcid: 0000-0002-6044-0169
According to our database1,
Andreas Themelis
authored at least 31 papers
between 2012 and 2024.
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Bibliography
2024
A Mirror Inertial Forward-Reflected-Backward Splitting: Convergence Analysis Beyond Convexity and Lipschitz Smoothness.
J. Optim. Theory Appl., November, 2024
SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization.
Comput. Optim. Appl., May, 2024
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Safeguarding adaptive methods: global convergence of Barzilai-Borwein and other stepsize choices.
Proceedings of the 10th International Conference on Control, 2024
2023
Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy.
SIAM J. Optim., December, 2023
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient.
CoRR, 2023
2022
Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity.
SIAM J. Optim., September, 2022
Math. Program. Comput., 2022
Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems.
Math. Program., 2022
J. Optim. Theory Appl., 2022
Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control.
CoRR, 2022
Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms.
Comput. Optim. Appl., 2022
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.
SIAM J. Optim., 2021
Proceedings of the 29th European Signal Processing Conference, 2021
Neural Network Training as an Optimal Control Problem : - An Augmented Lagrangian Approach -.
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.
SIAM J. Optim., 2020
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
SuperMann: A Superlinearly Convergent Algorithm for Finding Fixed Points of Nonexpansive Operators.
IEEE Trans. Autom. Control., 2019
IEEE Trans. Autom. Control., 2019
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.
SIAM J. Optim., 2018
Proceedings of the 16th European Control Conference, 2018
2017
Comput. Optim. Appl., 2017
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
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(?).
Eur. J. Law Technol., 2013
2012
After <i>Pierre Fabre</i>: the future of online distribution under competition policy.
Int. J. Law Inf. Technol., 2012