Themelis Andreas ＴｈｅｍｅｌｉｓＡｎｄｒｅａｓ

Researcher Number	50898749
Other IDs	https://orcid.org/0000-0002-6044-0169
Affiliation (Current)	2025: 九州大学, システム情報科学研究院, 准教授
Affiliation (based on the past Project Information) *help	2021 – 2024: 九州大学, システム情報科学研究院, 准教授
Review Section/Research Field	Principal Investigator Basic Section 60020:Mathematical informatics-related
Keywords	Principal Investigator Open-source software / Optimization algorithms / Decentralized control / Autonomous driving / Adaptive algorithms / Nonconvex optimization

Research Projects
(2 results)
Research Products
(18 results)

Adaptive optimization: parameter-free self-tuning algorithms beyond smoothness and convexityPrincipal Investigator
- Principal Investigator
  
  Themelis Andreas
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60020:Mathematical informatics-related
- Research Institution
  Kyushu University
New-generation optimization algorithms for engineeringPrincipal Investigator
- Principal Investigator
  
  Themelis Andreas
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 60020:Mathematical informatics-related
- Research Institution
  Kyushu University

All 2024 2023 2022 2021

All Journal Article Presentation

[Journal Article] SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization2024
- Author(s)
  Pourya Behmandpoor, Puya Latafat, Andreas Themelis, Marc Moonen, Panagiotis Patrinos
- Journal Title
  
  Computational Optimization and Applications
  
  Volume: - Issue: 1 Pages: 71-106
- DOI
  10.1007/s10589-023-00550-8
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710
[Journal Article] A mirror inertial forward-reflected-backward splitting: Convergence analysis beyond convexity and Lipschitz smoothness2024
- Author(s)
  Ziyuan Wang, Andreas Themelis, Hongjia Ou, Xianfu Wang
- Journal Title
  
  Journal of Optimization Theory and Applications
  
  Volume: - Issue: 2 Pages: 1127-1159
- DOI
  10.1007/s10957-024-02383-9
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710
[Journal Article] Dualities for non-Euclidean smoothness and strong convexity under the light of generalized conjugacy2023
- Author(s)
  Emanuel Laude, Andreas Themelis, Panagiotis Patrinos
- Journal Title
  
  SIAM Journal on Optimization
  
  Volume: 33 Issue: 4 Pages: 2721-2749
- DOI
  10.1137/21m1465913
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710
[Journal Article] Optimal grid layouts for hybrid offshore assets in the North Sea under different market designs2023
- Author(s)
  Stephen Hardy, Andreas Themelis, Kaoru Yamamoto, Hakan Ergun, Dirk Van Hertem
- Journal Title
  
  IEEE Transactions on Energy Markets, Policy and Regulation
  
  Volume: 1 Issue: 4 Pages: 468-479
- DOI
  10.1109/tempr.2023.3289582
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710
[Journal Article] Flock navigation with dynamic hierarchy and subjective weights using nonlinear MPC2022
- Author(s)
  A. Nag, S. Huang, A. Themelis and Yamamoto, Kaoru
- Journal Title
  
  IEEE Conference on Control Technology and Applications
  
  Volume: - Pages: 1135-1140
- DOI
  10.1109/ccta49430.2022.9966067
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710, KAKENHI-PROJECT-20K14766
[Journal Article] Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type algorithms2022
- Author(s)
  A. Themelis, L. Stella and P. Patrinos
- Journal Title
  
  Computational Optimization and Applications
  
  Volume: 82 Issue: 2 Pages: 395-440
- DOI
  10.1007/s10589-022-00366-y
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710
[Journal Article] Douglas-Peucker piecewise affine approximation of an optimal fuel consumption problem to apply PANOC2022
- Author(s)
  H. Ou, A. Themelis, T. Yuno and T. Kawabe
- Journal Title
  
  SICE International Symposium on Control Systems
  
  Volume: - Pages: 34-38
- DOI
  10.23919/siceiscs54350.2022.9754372
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710
[Journal Article] Proximal Gradient Algorithms under Local Lipschitz Gradient Continuity: A Convergence and Robustness Analysis of PANOC2022
- Author(s)
  A. De Marchi and A. Themelis
- Journal Title
  
  Journal of Optimization Theory and Applications
  
  Volume: 194 Issue: 3 Pages: 771-794
- DOI
  10.1007/s10957-022-02048-5
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710
[Journal Article] QPALM: A proximal augmented Lagrangian method for nonconvex quadratic programs2022
- Author(s)
  B. Hermans, A. Themelis, and P. Patrinos
- Journal Title
  
  Mathematical Programming Computation
  
  Volume: - Issue: 3 Pages: 497-541
- DOI
  10.1007/s12532-022-00218-0
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710
[Journal Article] Bregman Finito/MISO for nonconvex regularized finite sum minimization without Lipschitz gradient continuity2022
- Author(s)
  P. Latafat, A. Themelis, M. Ahookhosh and P. Patrinos
- Journal Title
  
  SIAM Journal on Optimization
  
  Volume: 32 Issue: 3 Pages: 2230-2262
- DOI
  10.1137/21m140376x
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710
[Journal Article] Lasry-Lions envelopes and nonconvex optimization: A homotopy approach2021
- Author(s)
  M. Simoes, A. Themelis, and P. Patrinos
- Journal Title
  
  29th IEEE European Signal Processing Conference
  
  Volume: - Pages: 2089-2093
- DOI
  10.23919/eusipco54536.2021.9616167
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710
[Journal Article] Neural network training as an optimal control problem: An augmented Lagrangian approach2021
- Author(s)
  B. Evens, P. Latafat, A. Themelis, J. Suykens, and P. Patrinos
- Journal Title
  
  60th IEEE Conference on Decision and Control
  
  Volume: - Pages: 5136-5143
- DOI
  10.1109/cdc45484.2021.9682842
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710
[Journal Article] A Bregman forward-backward linesearch algorithm for nonconvex composite optimization: Superlinear convergence to nonisolated local minima2021
- Author(s)
  M. Ahookhosh, A. Themelis, and P. Patrinos
- Journal Title
  
  SIAM Journal on Optimization
  
  Volume: 31 Issue: 1 Pages: 653-685
- DOI
  10.1137/19m1264783
- NAID
  120007029157
- Peer Reviewed / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710
[Presentation] Adaptive proximal gradient methods for convex bilevel optimization2023
- Author(s)
  Andreas Themelis
- Organizer
  Control & Optimisation Pisa 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710
[Presentation] Globalized Newton-type algorithms for nonsmooth nonconvex structured optimization2023
- Author(s)
  Andreas Themelis
- Organizer
  Invited event at Chongqing Normal University https://math.cqnu.edu.cn/info/1144/8877.htm
- Invited
- Data Source
  KAKENHI-PROJECT-21K17710
[Presentation] Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient2023
- Author(s)
  Andreas Themelis
- Organizer
  10th International Congress on Industrial and Applied Mathematics
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710
[Presentation] Splitting algorithms for nonconvex optimization: Unified analysis and Newton-type acceleration2022
- Author(s)
  Andreas Themelis
- Organizer
  NPU Optimization Seminar
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710
[Presentation] inertia and relative smoothness in nonconvex minimization a case study on the forward-reflected-backward algorithm2022
- Author(s)
  Andreas Themelis
- Organizer
  International Workshop on Continuous Optimization
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K17710

Themelis Andreas Ｔｈｅｍｅｌｉｓ Ａｎｄｒｅａｓ

Research Projects

Research Products

Adaptive optimization: parameter-free self-tuning algorithms beyond smoothness and convexityPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

New-generation optimization algorithms for engineeringPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A mirror inertial forward-reflected-backward splitting: Convergence analysis beyond convexity and Lipschitz smoothness2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Dualities for non-Euclidean smoothness and strong convexity under the light of generalized conjugacy2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Optimal grid layouts for hybrid offshore assets in the North Sea under different market designs2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Flock navigation with dynamic hierarchy and subjective weights using nonlinear MPC2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type algorithms2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Douglas-Peucker piecewise affine approximation of an optimal fuel consumption problem to apply PANOC2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Proximal Gradient Algorithms under Local Lipschitz Gradient Continuity: A Convergence and Robustness Analysis of PANOC2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] QPALM: A proximal augmented Lagrangian method for nonconvex quadratic programs2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Bregman Finito/MISO for nonconvex regularized finite sum minimization without Lipschitz gradient continuity2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Lasry-Lions envelopes and nonconvex optimization: A homotopy approach2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Neural network training as an optimal control problem: An augmented Lagrangian approach2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A Bregman forward-backward linesearch algorithm for nonconvex composite optimization: Superlinear convergence to nonisolated local minima2021

Author(s)

Journal Title

DOI

NAID

Themelis Andreas ＴｈｅｍｅｌｉｓＡｎｄｒｅａｓ