Global convergence analysis of the power proximal point and augmented Lagrangian method.

Panagiotis Patrinos Panos Patrinos https://orcid.org/0000-0003-4824-7697

Konstantinos A. Oikonomidis Alexander Bodard Emanuel Laude Panagiotis Patrinos Global convergence analysis of the power proximal point and augmented Lagrangian method. 617-649 2026 March 93 Comput. Optim. Appl. 2 https://doi.org/10.1007/s10589-025-00730-8 db/journals/coap/coap93.html#OikonomidisBLP26 streams/journals/coap

Pooya Ashtari Pourya Behmandpoor Fateme Nateghi Haredasht Jonathan H. Chen Panagiotis Patrinos Sabine Van Huffel Quantization-aware matrix factorization for low bit rate image compression. 122646 2026 722 Inf. Sci. https://doi.org/10.1016/j.ins.2025.122646 db/journals/isci/isci722.html#AshtariBHCPH26 streams/journals/isci

Jia Wang 0042 Leander Hemelhof Ivan Markovsky Panagiotis Patrinos Fast data-driven iterative learning control for linear system with output disturbance. 108414 2026 363 J. Frankl. Inst. 2 https://doi.org/10.1016/j.jfranklin.2026.108414 db/journals/jfi/jfi363.html#WangHMP26 streams/journals/jfi

Pourya Behmandpoor Mark Eisen Panagiotis Patrinos Marc Moonen A Deep Learning-Based Resource Allocator for Communication Networks With Dynamic User Utility Demands. 1734-1750 2026 25 IEEE Trans. Wirel. Commun. https://doi.org/10.1109/TWC.2025.3592774 db/journals/twc/twc25.html#BehmandpoorEPM26 streams/journals/twc

Pieter Pas Kristoffer Fink Løwenstein Daniele Bernardini 0001 Panagiotis Patrinos Exploiting Parallelism in a QPALM-based Solver for Optimal Control. 2026 March abs/2603.11723 CoRR https://doi.org/10.48550/arXiv.2603.11723 db/journals/corr/corr2603.html#abs-2603-11723 streams/journals/corr

Renzi Wang Mathijs Schuurmans Panagiotis Patrinos Risk-Sensitive Model Predictive Control for Interaction-Aware Planning-A Sequential Convexification Algorithm. 1916-1921 2025 9 IEEE Control. Syst. Lett. https://doi.org/10.1109/LCSYS.2025.3586667 db/journals/csysl/csysl9.html#WangSP25 streams/journals/csysl

Jan Quan Brecht Evens Rodolphe Sepulchre Panagiotis Patrinos Scaled relative graphs for nonmonotone operators with applications in circuit theory. 101335 2025 86 Eur. J. Control https://doi.org/10.1016/j.ejcon.2025.101335 db/journals/ejcon/ejcon86.html#QuanESP25 streams/journals/ejcon

Puya Latafat Andreas Themelis Silvia Villa Panagiotis Patrinos On the Convergence of Proximal Gradient Methods for Convex Simple Bilevel Optimization. 51 2025 March 204 J. Optim. Theory Appl. 3 https://doi.org/10.1007/s10957-024-02564-6 db/journals/jota/jota204.html#LatafatTVP25 streams/journals/jota

Brecht Evens Puya Latafat Panagiotis Patrinos Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity. 7 2025 July 206 J. Optim. Theory Appl. 1 https://doi.org/10.1007/s10957-025-02680-x db/journals/jota/jota206.html#EvensLP25 streams/journals/jota

Puya Latafat Andreas Themelis Lorenzo Stella Panagiotis Patrinos Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. 433-471 2025 September 213 Math. Program. 1 https://doi.org/10.1007/s10107-024-02143-7 db/journals/mp/mp213.html#LatafatTSP25 streams/journals/mp

Brecht Evens Pieter Pas Puya Latafat Panagiotis Patrinos Convergence of the preconditioned proximal point method and Douglas-Rachford splitting in the absence of monotonicity. 247-301 2025 November 214 Math. Program. 1 https://doi.org/10.1007/s10107-024-02182-0 db/journals/mp/mp214.html#EvensPLP25 streams/journals/mp

Emanuel Laude Panagiotis Patrinos Anisotropic proximal gradient. 801-845 2025 November 214 Math. Program. 1 https://doi.org/10.1007/s10107-025-02204-5 db/journals/mp/mp214.html#LaudeP25 streams/journals/mp

Jean Pierre Allamaa Panagiotis Patrinos Herman Van der Auweraer Tong Duy Son Learning-Based NMPC Adaptation for Autonomous Driving Using Parallelized Digital Twin. 1317-1332 2025 July 33 IEEE Trans. Control. Syst. Technol. 4 https://doi.org/10.1109/TCST.2024.3437163 db/journals/tcst/tcst33.html#AllamaaPAS25 streams/journals/tcst

Alexander Bodard Konstantinos A. Oikonomidis Emanuel Laude Panagiotis Patrinos The inexact power augmented Lagrangian method for constrained nonconvex optimization. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=63ANb4r7EM db/journals/tmlr/tmlr2025.html#BodardOLP25 streams/journals/tmlr

Teodor Rotaru Panagiotis Patrinos François Glineur Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent. 4114-4122 2025 AISTATS https://proceedings.mlr.press/v258/rotaru25a.html conf/aistats/2025 db/conf/aistats/aistats2025.html#RotaruPG25 streams/conf/aistats Pieter Pas Panagiotis Patrinos Blocked Cholesky factorization updates of the Riccati recursion using hyperbolic Householder transformations. 5323-5328 2025 CDC https://doi.org/10.1109/CDC57313.2025.11312551 conf/cdc/2025 db/conf/cdc/cdc2025.html#PasP25 streams/conf/cdc Renzi Wang Flavia Sofia Acerbo Tong Duy Son Panagiotis Patrinos Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach. 2031-2037 2025 ECC https://doi.org/10.23919/ECC65951.2025.11187023 conf/eucc/2025 db/conf/eucc/ecc2025.html#WangASP25 streams/conf/eucc Konstantinos A. Oikonomidis Jan Quan Emanuel Laude Panagiotis Patrinos Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness. 2025 ICML https://proceedings.mlr.press/v267/oikonomidis25a.html https://openreview.net/forum?id=kV8oUyjdIg conf/icml/2025 db/conf/icml/icml2025.html#OikonomidisQLP25 Jean Pierre Allamaa Panagiotis Patrinos Tong Duy Son ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights. 2976-2983 2025 IROS https://doi.org/10.1109/IROS60139.2025.11246379 conf/iros/2025 db/conf/iros/iros2025.html#AllamaaPS25 streams/conf/iros

Jean Pierre Allamaa Panagiotis Patrinos Tong Duy Son ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights. 2025 March abs/2503.00654 CoRR https://doi.org/10.48550/arXiv.2503.00654 db/journals/corr/corr2503.html#abs-2503-00654 streams/journals/corr

Renzi Wang Mathijs Schuurmans Panagiotis Patrinos Risk-Sensitive Model Predictive Control for Interaction-Aware Planning - A Sequential Convexification Algorithm. 2025 March abs/2503.14328 CoRR https://doi.org/10.48550/arXiv.2503.14328 db/journals/corr/corr2503.html#abs-2503-14328 streams/journals/corr

Pieter Pas Panagiotis Patrinos Blocked Cholesky factorization updates of the Riccati recursion using hyperbolic Householder transformations. 2025 March abs/2503.15372 CoRR https://doi.org/10.48550/arXiv.2503.15372 db/journals/corr/corr2503.html#abs-2503-15372 streams/journals/corr

Brecht Evens Puya Latafat Panagiotis Patrinos Spingarn's Method and Progressive Decoupling Beyond Elicitable Monotonicity. 2025 April abs/2504.00836 CoRR https://doi.org/10.48550/arXiv.2504.00836 db/journals/corr/corr2504.html#abs-2504-00836 streams/journals/corr

Arne Bouillon Alexander Bodard Panagiotis Patrinos Dirk Nuyens Giovanni Samaey A localized consensus-based sampling algorithm. 2025 May abs/2505.24861 CoRR https://doi.org/10.48550/arXiv.2505.24861 db/journals/corr/corr2505.html#abs-2505-24861 streams/journals/corr

Teodor Rotaru Panagiotis Patrinos François Glineur Tight Convergence Rates in Gradient Mapping for the Difference-of-Convex Algorithm. 2025 June abs/2506.01791 CoRR https://doi.org/10.48550/arXiv.2506.01791 db/journals/corr/corr2506.html#abs-2506-01791 streams/journals/corr

Jan Quan Johan A. K. Suykens Panagiotis Patrinos Rethinking PCA Through Duality. 2025 October abs/2510.18130 CoRR https://doi.org/10.48550/arXiv.2510.18130 db/journals/corr/corr2510.html#abs-2510-18130 streams/journals/corr

Matisse Teuwen Mathijs Schuurmans Panagiotis Patrinos Probabilistic Safety under Arbitrary Disturbance Distributions using Piecewise-Affine Control Barrier Functions. 2025 December abs/2512.04194 CoRR https://doi.org/10.48550/arXiv.2512.04194 db/journals/corr/corr2512.html#abs-2512-04194 streams/journals/corr

Pieter Pas Panagiotis Patrinos Cyqlone: A Parallel, High-Performance Linear Solver for Optimal Control. 2025 December abs/2512.09058 CoRR https://doi.org/10.48550/arXiv.2512.09058 db/journals/corr/corr2512.html#abs-2512-09058 streams/journals/corr

Susan Ghaderi Masoud Ahookhosh Adam Arany Alexander Skupin Panagiotis Patrinos Yves Moreau Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions. 128377 2024 March 464 Appl. Math. Comput. https://doi.org/10.1016/j.amc.2023.128377 db/journals/amc/amc464.html#GhaderiAASPM24

Pourya Behmandpoor Puya Latafat Andreas Themelis Marc Moonen Panagiotis Patrinos SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization. 71-106 2024 May 88 Comput. Optim. Appl. 1 https://doi.org/10.1007/s10589-023-00550-8 db/journals/coap/coap88.html#BehmandpoorLTMP24

Kristoffer Fink Løwenstein Daniele Bernardini 0001 Panagiotis Patrinos QPALM-OCP: A Newton-Type Proximal Augmented Lagrangian Solver Tailored for Quadratic Programs Arising in Model Predictive Control. 1349-1354 2024 8 IEEE Control. Syst. Lett. https://doi.org/10.1109/LCSYS.2024.3410638 db/journals/csysl/csysl8.html#LowensteinBP24

Jia Wang 0042 Leander Hemelhof Ivan Markovsky Panagiotis Patrinos A Trust-Region Method for Data-Driven Iterative Learning Control of Nonlinear Systems. 1847-1852 2024 8 IEEE Control. Syst. Lett. https://doi.org/10.1109/LCSYS.2024.3417805 db/journals/csysl/csysl8.html#WangHMP24 streams/journals/csysl

Qinghua Tao Francesco Tonin Panagiotis Patrinos Johan A. K. Suykens Tensor-based multi-view spectral clustering via shared latent space. 102405 2024 108 Inf. Fusion https://doi.org/10.1016/j.inffus.2024.102405 db/journals/inffus/inffus108.html#TaoTPS24

Despina Karamichailidou Georgios Gerolymatos Panagiotis Patrinos Haralambos Sarimveis Alex Alexandridis Radial basis function neural network training using variable projection and fuzzy means. 21137-21151 2024 November 36 Neural Comput. Appl. 33 https://doi.org/10.1007/s00521-024-10274-3 db/journals/nca/nca36.html#KaramichailidouGPSA24 streams/journals/nca

Francesco Tonin Qinghua Tao Panagiotis Patrinos Johan A. K. Suykens Deep Kernel Principal Component Analysis for multi-level feature learning. 578-595 2024 170 Neural Networks https://doi.org/10.1016/j.neunet.2023.11.045 db/journals/nn/nn170.html#ToninTPS24

Peter Coppens Panagiotis Patrinos Provably Stable Learning Control of Linear Dynamics With Multiplicative Noise. 5049-5064 2024 August 69 IEEE Trans. Autom. Control. 8 https://doi.org/10.1109/TAC.2023.3341757 db/journals/tac/tac69.html#CoppensP24 streams/journals/tac

Pourya Behmandpoor Marc Moonen Panagiotis Patrinos Asynchronous Message-Passing and Zeroth-Order Optimization Based Distributed Learning With a Use-Case in Resource Allocation in Communication Networks. 916-931 2024 10 IEEE Trans. Signal Inf. Process. over Networks https://doi.org/10.1109/TSIPN.2024.3487421 db/journals/tsipn/tsipn10.html#BehmandpoorMP24 streams/journals/tsipn

Sonny Achten Francesco Tonin Panagiotis Patrinos Johan A. K. Suykens Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification. 10766-10774 2024 AAAI https://doi.org/10.1609/aaai.v38i10.28949 conf/aaai/2024 db/conf/aaai/aaai2024.html#AchtenTPS24 Robin Kenis Emanuel Laude Panagiotis Patrinos Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees. 160-176 2024 ECCV (87) https://doi.org/10.1007/978-3-031-73021-4_10 conf/eccv/2024-87 db/conf/eccv/eccv2024-87.html#KenisLP24 streams/conf/eccv Konstantinos A. Oikonomidis Emanuel Laude Puya Latafat Andreas Themelis Panagiotis Patrinos Adaptive Proximal Gradient Methods Are Universal Without Approximation. 2024 ICML https://proceedings.mlr.press/v235/oikonomidis24a.html https://openreview.net/forum?id=SUxarNgrUT conf/icml/2024 db/conf/icml/icml2024.html#OikonomidisLLTP24 38663-38682 Qinghua Tao Francesco Tonin Alex Lambert Yingyi Chen Panagiotis Patrinos Johan A. K. Suykens Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method. 2024 ICML https://proceedings.mlr.press/v235/tao24b.html https://openreview.net/forum?id=Gp0xZDmrA2 conf/icml/2024 db/conf/icml/icml2024.html#TaoTLCPS24 47929-47947 Puya Latafat Andreas Themelis Panagiotis Patrinos On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. 197-208 2024 L4DC https://proceedings.mlr.press/v242/latafat24a.html conf/l4dc/2024 db/conf/l4dc/l4dc2024.html#LatafatTP24

Jean Pierre Allamaa Panagiotis Patrinos Toshiyuki Ohtsuka Tong Duy Son Real-time MPC with Control Barrier Functions for Autonomous Driving using Safety Enhanced Collocation. 2024 abs/2401.06648 CoRR https://doi.org/10.48550/arXiv.2401.06648 db/journals/corr/corr2401.html#abs-2401-06648

Robin Bruneel Mathijs Schuurmans Panagiotis Patrinos Intraday Power Trading for Imbalance Markets: An Adaptive Risk-Averse Strategy using Mixture Models. 2024 abs/2402.01215 CoRR https://doi.org/10.48550/arXiv.2402.01215 db/journals/corr/corr2402.html#abs-2402-01215

Konstantinos A. Oikonomidis Emanuel Laude Puya Latafat Andreas Themelis Panagiotis Patrinos Adaptive proximal gradient methods are universal without approximation. 2024 abs/2402.06271 CoRR https://doi.org/10.48550/arXiv.2402.06271 db/journals/corr/corr2402.html#abs-2402-06271

Jean Pierre Allamaa Panagiotis Patrinos Herman Van der Auweraer Tong Duy Son Learning Based NMPC Adaptation for Autonomous Driving using Parallelized Digital Twin. 2024 abs/2402.16645 CoRR https://doi.org/10.48550/arXiv.2402.16645 db/journals/corr/corr2402.html#abs-2402-16645

Qinghua Tao Francesco Tonin Alex Lambert Yingyi Chen Panagiotis Patrinos Johan A. K. Suykens Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method. 2024 abs/2406.08748 CoRR https://doi.org/10.48550/arXiv.2406.08748 db/journals/corr/corr2406.html#abs-2406-08748

Renzi Wang Alexander Bodard Mathijs Schuurmans Panagiotis Patrinos EM++: A parameter learning framework for stochastic switching systems. 2024 abs/2407.16359 CoRR https://doi.org/10.48550/arXiv.2407.16359 db/journals/corr/corr2407.html#abs-2407-16359 streams/journals/corr

Pooya Ashtari Pourya Behmandpoor Fateme Nateghi Haredasht Jonathan H. Chen Panagiotis Patrinos Sabine Van Huffel Quantization-free Lossy Image Compression Using Integer Matrix Factorization. 2024 abs/2408.12691 CoRR https://doi.org/10.48550/arXiv.2408.12691 db/journals/corr/corr2408.html#abs-2408-12691 streams/journals/corr

Ibrahim Kurban Özaslan Panagiotis Patrinos Mihailo R. Jovanovic Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems. 2024 abs/2408.15969 CoRR https://doi.org/10.48550/arXiv.2408.15969 db/journals/corr/corr2408.html#abs-2408-15969 streams/journals/corr

Alexander Bodard Konstantinos A. Oikonomidis Emanuel Laude Panagiotis Patrinos The inexact power augmented Lagrangian method for constrained nonconvex optimization. 2024 abs/2410.20153 CoRR https://doi.org/10.48550/arXiv.2410.20153 db/journals/corr/corr2410.html#abs-2410-20153 streams/journals/corr

Renzi Wang Flavia Sofia Acerbo Tong Duy Son Panagiotis Patrinos Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach. 2024 abs/2411.08232 CoRR https://doi.org/10.48550/arXiv.2411.08232 db/journals/corr/corr2411.html#abs-2411-08232 streams/journals/corr

Mathijs Schuurmans Alexander Katriniok Christopher Ryan Meissen H. Eric Tseng Panagiotis Patrinos Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach. 103920 2023 July 320 Artif. Intell. https://doi.org/10.1016/j.artint.2023.103920 db/journals/ai/ai320.html#SchuurmansKMTP23

Mathijs Schuurmans Panagiotis Patrinos Distributionally Robust Optimization Using Cost-Aware Ambiguity Sets. 1855-1860 2023 7 IEEE Control. Syst. Lett. https://doi.org/10.1109/LCSYS.2023.3281974 db/journals/csysl/csysl7.html#SchuurmansP23

Alexander Bodard Pieter Pas Panagiotis Patrinos PANTR: A Proximal Algorithm With Trust-Region Updates for Nonconvex Constrained Optimization. 2389-2394 2023 7 IEEE Control. Syst. Lett. https://doi.org/10.1109/LCSYS.2023.3286331 db/journals/csysl/csysl7.html#BodardPP23

Emanuel Laude Andreas Themelis Panagiotis Patrinos Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy. 2721-2749 2023 December 33 SIAM J. Optim. 4 https://doi.org/10.1137/21m1465913 db/journals/siamjo/siamjo33.html#LaudeTP23

Mathijs Schuurmans Panagiotis Patrinos A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems. 2950-2965 2023 May 68 IEEE Trans. Autom. Control. 5 https://doi.org/10.1109/TAC.2023.3237999 db/journals/tac/tac68.html#SchuurmansP23

Peter Coppens Panagiotis Patrinos Ordered Risk Minimization: Learning More from Less Data. 2003-2009 2023 CDC https://doi.org/10.1109/CDC49753.2023.10383728 conf/cdc/2023 db/conf/cdc/cdc2023.html#CoppensP23 Lahcen El Bourkhissi Ion Necoara Panagiotis Patrinos Linearized ADMM for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints. 7312-7317 2023 CDC https://doi.org/10.1109/CDC49753.2023.10384166 conf/cdc/2023 db/conf/cdc/cdc2023.html#BourkhissiNP23 Jean Pierre Allamaa Panagiotis Patrinos Herman Van der Auweraer Tong Duy Son Safety Envelope for Orthogonal Collocation Methods in Embedded Optimal Control. 1-7 2023 ECC https://doi.org/10.23919/ECC57647.2023.10178116 conf/eucc/2023 db/conf/eucc/eucc2023.html#AllamaaPAS23 Leander Hemelhof Ivan Markovsky Panagiotis Patrinos Data-Driven Output Matching of Output-Generalized Bilinear and Linear Parameter-Varying systems. 1-6 2023 ECC https://doi.org/10.23919/ECC57647.2023.10178404 conf/eucc/2023 db/conf/eucc/eucc2023.html#HemelhofMP23 Renzi Wang Mathijs Schuurmans Panagiotis Patrinos Interaction-aware Model Predictive Control for Autonomous Driving. 1-6 2023 ECC https://doi.org/10.23919/ECC57647.2023.10178332 conf/eucc/2023 db/conf/eucc/eucc2023.html#WangSP23 Pourya Behmandpoor Panagiotis Patrinos Marc Moonen Model-Free Decentralized Training for Deep Learning Based Resource Allocation in Communication Networks. 1494-1498 2023 EUSIPCO https://doi.org/10.23919/EUSIPCO58844.2023.10290055 conf/eusipco/2023 db/conf/eusipco/eusipco2023.html#BehmandpoorPM23 Thomas Pethick Olivier Fercoq Puya Latafat Panagiotis Patrinos Volkan Cevher Solving stochastic weak Minty variational inequalities without increasing batch size. 2023 ICLR https://openreview.net/forum?id=ejR4E1jaH9k conf/iclr/2023 db/conf/iclr/iclr2023.html#PethickFLPC23 Francesco Tonin Alex Lambert Panagiotis Patrinos Johan A. K. Suykens Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms. 34379-34393 2023 ICML https://proceedings.mlr.press/v202/tonin23a.html conf/icml/2023 db/conf/icml/icml2023.html#ToninLPS23 Francesco Tonin Panagiotis Patrinos Johan A. K. Suykens Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers. 201-216 2023 PKDD/ECML Workshops (4) https://doi.org/10.1007/978-3-031-74640-6_15 conf/pkdd/2023-w4 db/conf/pkdd/pkdd2023-w4.html#ToninPS23

Puya Latafat Andreas Themelis Lorenzo Stella Panagiotis Patrinos Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient. 2023 abs/2301.04431 CoRR https://doi.org/10.48550/arXiv.2301.04431 db/journals/corr/corr2301.html#abs-2301-04431

Sonny Achten Francesco Tonin Panagiotis Patrinos Johan A. K. Suykens Semi-Supervised Classification with Graph Convolutional Kernel Machines. 2023 abs/2301.13764 CoRR https://doi.org/10.48550/arXiv.2301.13764 db/journals/corr/corr2301.html#abs-2301-13764

Thomas Pethick Olivier Fercoq Puya Latafat Panagiotis Patrinos Volkan Cevher Solving stochastic weak Minty variational inequalities without increasing batch size. 2023 abs/2302.09029 CoRR https://doi.org/10.48550/arXiv.2302.09029 db/journals/corr/corr2302.html#abs-2302-09029

Thomas Pethick Puya Latafat Panagiotis Patrinos Olivier Fercoq Volkan Cevher Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. 2023 abs/2302.09831 CoRR https://doi.org/10.48550/arXiv.2302.09831 db/journals/corr/corr2302.html#abs-2302-09831

Francesco Tonin Qinghua Tao Panagiotis Patrinos Johan A. K. Suykens Deep Kernel Principal Component Analysis for Multi-level Feature Learning. 2023 abs/2302.11220 CoRR https://doi.org/10.48550/arXiv.2302.11220 db/journals/corr/corr2302.html#abs-2302-11220

Leander Hemelhof Ivan Markovsky Panagiotis Patrinos Data-Driven Output Matching of Output-Generalized Bilinear and Linear Parameter-Varying systems. 2023 abs/2302.12800 CoRR https://doi.org/10.48550/arXiv.2302.12800 db/journals/corr/corr2302.html#abs-2302-12800

Francesco Tonin Alex Lambert Panagiotis Patrinos Johan A. K. Suykens Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms. 2023 abs/2306.05815 CoRR https://doi.org/10.48550/arXiv.2306.05815 db/journals/corr/corr2306.html#abs-2306-05815

Francesco Tonin Panagiotis Patrinos Johan A. K. Suykens Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers. 2023 abs/2306.07015 CoRR https://doi.org/10.48550/arXiv.2306.07015 db/journals/corr/corr2306.html#abs-2306-07015

Qinghua Tao Francesco Tonin Panagiotis Patrinos Johan A. K. Suykens Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method. 2023 abs/2306.07040 CoRR https://doi.org/10.48550/arXiv.2306.07040 db/journals/corr/corr2306.html#abs-2306-07040

Pourya Behmandpoor Panagiotis Patrinos Marc Moonen A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands. 2023 abs/2311.04600 CoRR https://doi.org/10.48550/arXiv.2311.04600 db/journals/corr/corr2311.html#abs-2311-04600

Pourya Behmandpoor Marc Moonen Panagiotis Patrinos Zeroth-order Asynchronous Learning with Bounded Delays with a Use-case in Resource Allocation in Communication Networks. 2023 abs/2311.04604 CoRR https://doi.org/10.48550/arXiv.2311.04604 db/journals/corr/corr2311.html#abs-2311-04604

Puya Latafat Andreas Themelis Panagiotis Patrinos On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms. 2023 abs/2311.18431 CoRR https://doi.org/10.48550/arXiv.2311.18431 db/journals/corr/corr2311.html#abs-2311-18431

Brecht Evens Puya Latafat Panagiotis Patrinos Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity. 2023 abs/2312.06540 CoRR https://doi.org/10.48550/arXiv.2312.06540 db/journals/corr/corr2312.html#abs-2312-06540

Jia Wang 0042 Leander Hemelhof Ivan Markovsky Panagiotis Patrinos Fast data-driven iterative learning control for linear system with output disturbance. 2023 abs/2312.14326 CoRR https://doi.org/10.48550/arXiv.2312.14326 db/journals/corr/corr2312.html#abs-2312-14326

Andreas Themelis Lorenzo Stella Panagiotis Patrinos Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms. 395-440 2022 82 Comput. Optim. Appl. 2 https://doi.org/10.1007/s10589-022-00366-y db/journals/coap/coap82.html#ThemelisSP22

Peter Coppens Panagiotis Patrinos Data-Driven Distributionally Robust MPC for Constrained Stochastic Systems. 1274-1279 2022 6 IEEE Control. Syst. Lett. https://doi.org/10.1109/LCSYS.2021.3091628 db/journals/csysl/csysl6.html#CoppensP22

Puya Latafat Andreas Themelis Panagiotis Patrinos Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems. 195-224 2022 193 Math. Program. 1 https://doi.org/10.1007/s10107-020-01599-7 db/journals/mp/mp193.html#LatafatTP22

Ben Hermans Andreas Themelis Panagiotis Patrinos QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs. 497-541 2022 14 Math. Program. Comput. 3 https://doi.org/10.1007/s12532-022-00218-0 db/journals/mpc/mpc14.html#HermansTP22

Puya Latafat Panagiotis Patrinos Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays. 2052-2079 2022 37 Optim. Methods Softw. 6 https://doi.org/10.1080/10556788.2021.2023524 db/journals/oms/oms37.html#LatafatP22

Puya Latafat Andreas Themelis Masoud Ahookhosh Panagiotis Patrinos Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity. 2230-2262 2022 September 32 SIAM J. Optim. 3 https://doi.org/10.1137/21m140376x db/journals/siamjo/siamjo32.html#LatafatTAP22

Le Thi Khanh Hien Duy Nhat Phan Nicolas Gillis Masoud Ahookhosh Panagiotis Patrinos Block Bregman Majorization Minimization with Extrapolation. 1-25 2022 4 SIAM J. Math. Data Sci. 1 https://doi.org/10.1137/21m1432661 db/journals/simods/simods4.html#HienPGAP22

Brecht Evens Mathijs Schuurmans Panagiotis Patrinos Learning MPC for Interaction-Aware Autonomous Driving: A Game-Theoretic Approach. 34-39 2022 ECC https://doi.org/10.23919/ECC55457.2022.9838517 conf/eucc/2022 db/conf/eucc/eucc2022.html#EvensSP22 Pieter Pas Mathijs Schuurmans Panagiotis Patrinos Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization. 417-422 2022 ECC https://doi.org/10.23919/ECC55457.2022.9838172 conf/eucc/2022 db/conf/eucc/eucc2022.html#PasSP22 Pourya Behmandpoor Panagiotis Patrinos Marc Moonen Federated Learning Based Resource Allocation for Wireless Communication Networks. 1656-1660 2022 EUSIPCO https://ieeexplore.ieee.org/document/9909708 conf/eusipco/2022 db/conf/eusipco/eusipco2022.html#BehmandpoorPM22 Pourya Behmandpoor Panagiotis Patrinos Marc Moonen Learning-Based Resource Allocation with Dynamic Data Rate Constraints. 4088-4092 2022 ICASSP https://doi.org/10.1109/ICASSP43922.2022.9746019 conf/icassp/2022 db/conf/icassp/icassp2022.html#BehmandpoorPM22 Thomas Pethick Puya Latafat Panos Patrinos Olivier Fercoq Volkan Cevher Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems. 2022 ICLR https://openreview.net/forum?id=2_vhkAMARk conf/iclr/2022 db/conf/iclr/iclr2022.html#PethickLPFC22

Mathijs Schuurmans Alexander Katriniok Christopher Ryan Meissen H. Eric Tseng Panagiotis Patrinos Safe, Learning-Based MPC for Highway Driving under Lane-Change Uncertainty: A Distributionally Robust Approach. 2022 abs/2206.13319 CoRR https://doi.org/10.48550/arXiv.2206.13319 db/journals/corr/corr2206.html#abs-2206-13319

Peter Coppens Panagiotis Patrinos Safe learning LQR of linear dynamics with multiplicative noise. 2022 abs/2207.06062 CoRR https://doi.org/10.48550/arXiv.2207.06062 db/journals/corr/corr2207.html#abs-2207-06062

Pourya Behmandpoor Puya Latafat Andreas Themelis Marc Moonen Panagiotis Patrinos SPIRAL: A Superlinearly Convergent Incremental Proximal Algorithm for Nonconvex Finite Sum Minimization. 2022 abs/2207.08195 CoRR https://doi.org/10.48550/arXiv.2207.08195 db/journals/corr/corr2207.html#abs-2207-08195

Qinghua Tao Francesco Tonin Panagiotis Patrinos Johan A. K. Suykens Tensor-based Multi-view Spectral Clustering via Shared Latent Space. 2022 abs/2207.11559 CoRR https://doi.org/10.48550/arXiv.2207.11559 db/journals/corr/corr2207.html#abs-2207-11559

Jean Pierre Allamaa Panagiotis Patrinos Herman Van der Auweraer Tong Duy Son Sim2real for Autonomous Vehicle Control using Executable Digital Twin. 2022 abs/2208.06226 CoRR https://doi.org/10.48550/arXiv.2208.06226 db/journals/corr/corr2208.html#abs-2208-06226

Jean Pierre Allamaa Panagiotis Patrinos Herman Van der Auweraer Tong Duy Son Safety Envelope for Orthogonal Collocation Methods in Embedded Optimal Control. 2022 abs/2211.14853 CoRR https://doi.org/10.48550/arXiv.2211.14853 db/journals/corr/corr2211.html#abs-2211-14853

Renzi Wang Mathijs Schuurmans Panagiotis Patrinos Interaction-aware Model Predictive Control for Autonomous Driving. 2022 abs/2211.17053 CoRR https://doi.org/10.48550/arXiv.2211.17053 db/journals/corr/corr2211.html#abs-2211-17053

Pieter Pas Andreas Themelis Panagiotis Patrinos Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control. 2022 abs/2212.04391 CoRR https://doi.org/10.48550/arXiv.2212.04391 db/journals/corr/corr2212.html#abs-2212-04391

Ben Hermans Goele Pipeleers Panagiotis Patrinos A penalty method for nonlinear programs with set exclusion constraints. 109500 2021 127 Autom. https://doi.org/10.1016/j.automatica.2021.109500 db/journals/automatica/automatica127.html#HermansPP21

Masoud Ahookhosh Le Thi Khanh Hien Nicolas Gillis Panagiotis Patrinos Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization. 681-715 2021 79 Comput. Optim. Appl. 3 https://doi.org/10.1007/s10589-021-00286-3 https://www.wikidata.org/entity/Q114227026 db/journals/coap/coap79.html#AhookhoshHGP21

Masoud Ahookhosh Le Thi Khanh Hien Nicolas Gillis Panagiotis Patrinos A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization. 234-258 2021 190 J. Optim. Theory Appl. 1 https://doi.org/10.1007/s10957-021-01880-5 db/journals/jota/jota190.html#AhookhoshHGP21

Francesco Tonin Panagiotis Patrinos Johan A. K. Suykens Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints. 661-679 2021 142 Neural Networks https://doi.org/10.1016/j.neunet.2021.07.023 db/journals/nn/nn142.html#ToninPS21

Masoud Ahookhosh Andreas Themelis Panagiotis Patrinos A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima. 653-685 2021 31 SIAM J. Optim. 1 https://doi.org/10.1137/19M1264783 db/journals/siamjo/siamjo31.html#AhookhoshTP21

Mathijs Schuurmans Panagiotis Patrinos Data-driven distributionally robust control of partially observable jump linear systems. 4332-4337 2021 CDC https://doi.org/10.1109/CDC45484.2021.9682833 conf/cdc/2021 db/conf/cdc/cdc2021.html#SchuurmansP21 Brecht Evens Puya Latafat Andreas Themelis Johan A. K. Suykens Panagiotis Patrinos Neural Network Training as an Optimal Control Problem : - An Augmented Lagrangian Approach -. 5136-5143 2021 CDC https://doi.org/10.1109/CDC45484.2021.9682842 conf/cdc/2021 db/conf/cdc/cdc2021.html#EvensLTSP21 Miguel Simões Andreas Themelis Panagiotis Patrinos Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. 2089-2093 2021 EUSIPCO https://doi.org/10.23919/EUSIPCO54536.2021.9616167 conf/eusipco/2021 db/conf/eusipco/eusipco2021.html#SimoesTP21 Francesco Tonin Arun Pandey Panagiotis Patrinos Johan A. K. Suykens Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine. 1-8 2021 IJCNN https://doi.org/10.1109/IJCNN52387.2021.9533706 conf/ijcnn/2021 db/conf/ijcnn/ijcnn2021.html#ToninPPS21

Francesco Tonin Arun Pandey Panagiotis Patrinos Johan A. K. Suykens Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine. 2021 abs/2102.08443 CoRR https://arxiv.org/abs/2102.08443 db/journals/corr/corr2102.html#abs-2102-08443

Peter Coppens Panagiotis Patrinos Data-driven distributionally robust MPC for constrained stochastic systems. 2021 abs/2103.03006 CoRR https://arxiv.org/abs/2103.03006 db/journals/corr/corr2103.html#abs-2103-03006

Miguel Simões Andreas Themelis Panagiotis Patrinos Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach. 2021 abs/2103.08533 CoRR https://arxiv.org/abs/2103.08533 db/journals/corr/corr2103.html#abs-2103-08533

Mathijs Schuurmans Panagiotis Patrinos Data-driven distributionally robust control of partially observable jump linear systems. 2021 abs/2105.02511 CoRR https://arxiv.org/abs/2105.02511 db/journals/corr/corr2105.html#abs-2105-02511

Mathijs Schuurmans Panagiotis Patrinos A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems. 2021 abs/2106.00561 CoRR https://arxiv.org/abs/2106.00561 db/journals/corr/corr2106.html#abs-2106-00561

Le Thi Khanh Hien Duy Nhat Phan Nicolas Gillis Masoud Ahookhosh Panagiotis Patrinos Block Alternating Bregman Majorization Minimization with Extrapolation. 2021 abs/2107.04395 CoRR https://arxiv.org/abs/2107.04395 db/journals/corr/corr2107.html#abs-2107-04395

Pieter Pas Mathijs Schuurmans Panagiotis Patrinos Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization. 2021 abs/2112.02370 CoRR https://arxiv.org/abs/2112.02370 db/journals/corr/corr2112.html#abs-2112-02370

Aleksandra Lekic Ben Hermans Nenad S. Jovicic Panagiotis Patrinos Microsecond nonlinear model predictive control for DC-DC converters. 406-419 2020 48 Int. J. Circuit Theory Appl. 3 https://doi.org/10.1002/cta.2737 db/journals/ijcta/ijcta48.html#LekicHJP20

Andreas Themelis Panagiotis Patrinos Douglas-Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results. 149-181 2020 30 SIAM J. Optim. 1 https://doi.org/10.1137/18M1163993 db/journals/siamjo/siamjo30.html#ThemelisP20

Fernando de la Hucha Arce Panagiotis Patrinos Marian Verhelst Alexander Bertrand On the Convexity of Bit Depth Allocation for Linear MMSE Estimation in Wireless Sensor Networks. 291-295 2020 27 IEEE Signal Process. Lett. https://doi.org/10.1109/LSP.2020.2967592 db/journals/spl/spl27.html#ArcePVB20

Christian A. Hans Pantelis Sopasakis Jörg Raisch Carsten Reincke-Collon Panagiotis Patrinos Risk-Averse Model Predictive Operation Control of Islanded Microgrids. 2136-2151 2020 28 IEEE Trans. Control. Syst. Technol. 6 https://doi.org/10.1109/TCST.2019.2929492 db/journals/tcst/tcst28.html#HansSRRP20

Jasper Wouters Panagiotis Patrinos Fabian Kloosterman Alexander Bertrand Multi-Pattern Recognition Through Maximization of Signal-to-Peak-Interference Ratio With Application to Neural Spike Sorting. 6240-6254 2020 68 IEEE Trans. Signal Process. https://doi.org/10.1109/TSP.2020.3033973 db/journals/tsp/tsp68.html#WoutersPKB20

Mathijs Schuurmans Panagiotis Patrinos Learning-Based Distributionally Robust Model Predictive Control of Markovian Switching Systems with Guaranteed Stability and Recursive Feasibility. 4287-4292 2020 CDC https://doi.org/10.1109/CDC42340.2020.9303988 conf/cdc/2020 db/conf/cdc/cdc2020.html#SchuurmansP20 Andreas Themelis Ben Hermans Panagiotis Patrinos A new envelope function for nonsmooth DC optimization. 4697-4702 2020 CDC https://doi.org/10.1109/CDC42340.2020.9304514 conf/cdc/2020 db/conf/cdc/cdc2020.html#ThemelisHP20 Peter Coppens Panagiotis Patrinos Sample Complexity of Data-Driven Stochastic LQR with Multiplicative Uncertainty. 6210-6215 2020 CDC https://doi.org/10.1109/CDC42340.2020.9303905 conf/cdc/2020 db/conf/cdc/cdc2020.html#CoppensP20 Nico Vervliet Andreas Themelis Panagiotis Patrinos Lieven De Lathauwer A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition. 1020-1024 2020 EUSIPCO https://doi.org/10.23919/Eusipco47968.2020.9287549 conf/eusipco/2020 db/conf/eusipco/eusipco2020.html#VervlietTPL20 Hien Le Nicolas Gillis Panagiotis Patrinos Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization. 5671-5681 2020 ICML http://proceedings.mlr.press/v119/le20a.html conf/icml/2020 db/conf/icml/icml2020.html#LeGP20 Peter Coppens Mathijs Schuurmans Panagiotis Patrinos Data-driven distributionally robust LQR with multiplicative noise. 521-530 2020 L4DC http://proceedings.mlr.press/v120/coppens20a.html conf/l4dc/2020 db/conf/l4dc/l4dc2020.html#CoppensSP20

Pantelis Sopasakis Emil Fresk Panagiotis Patrinos OpEn: Code Generation for Embedded Nonconvex Optimization. 2020 abs/2003.00292 CoRR https://arxiv.org/abs/2003.00292 db/journals/corr/corr2003.html#abs-2003-00292

Masoud Ahookhosh Nicolas Gillis Panagiotis Patrinos A block inertial Bregman proximal algorithm for nonsmooth nonconvex problems. 2020 abs/2003.03963 CoRR https://arxiv.org/abs/2003.03963 db/journals/corr/corr2003.html#abs-2003-03963

Mathijs Schuurmans Alexander Katriniok Hongtei Eric Tseng Panagiotis Patrinos Learning-Based Risk-Averse Model Predictive Control for Adaptive Cruise Control with Stochastic Driver Models. 2020 abs/2005.02646 CoRR https://arxiv.org/abs/2005.02646 db/journals/corr/corr2005.html#abs-2005-02646

Peter Coppens Panagiotis Patrinos Sample Complexity of Data-Driven Stochastic LQR with Multiplicative Uncertainty. 2020 abs/2005.12167 CoRR https://arxiv.org/abs/2005.12167 db/journals/corr/corr2005.html#abs-2005-12167

Francesco Tonin Panagiotis Patrinos Johan A. K. Suykens Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints. 2020 abs/2011.12659 CoRR https://arxiv.org/abs/2011.12659 db/journals/corr/corr2011.html#abs-2011-12659

Jeroen Verdyck Wouter Lanneer Paschalis Tsiaflakis Werner Coomans Panagiotis Patrinos Marc Moonen Optimal Dynamic Spectrum Management Algorithms for Multi-User Full-Duplex DSL. 106600-106616 2019 7 IEEE Access https://doi.org/10.1109/ACCESS.2019.2926616 db/journals/access/access7.html#VerdyckLTCPM19

Pantelis Sopasakis Domagoj Herceg Alberto Bemporad Panagiotis Patrinos Risk-averse model predictive control. 281-288 2019 100 Autom. https://doi.org/10.1016/j.automatica.2018.11.022 https://www.wikidata.org/entity/Q128825232 db/journals/automatica/automatica100.html#SopasakisHBP19

Lorenzo Stella Andreas Themelis Panagiotis Patrinos Newton-Type Alternating Minimization Algorithm for Convex Optimization. 697-711 2019 64 IEEE Trans. Autom. Control. 2 https://doi.org/10.1109/TAC.2018.2872203 db/journals/tac/tac64.html#StellaTP19

Puya Latafat Nikolaos M. Freris Panagiotis Patrinos A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization. 4050-4065 2019 64 IEEE Trans. Autom. Control. 10 https://doi.org/10.1109/TAC.2019.2906924 https://www.wikidata.org/entity/Q128163460 db/journals/tac/tac64.html#LatafatFP19

Andreas Themelis Panagiotis Patrinos SuperMann: A Superlinearly Convergent Algorithm for Finding Fixed Points of Nonexpansive Operators. 4875-4890 2019 64 IEEE Trans. Autom. Control. 12 https://doi.org/10.1109/TAC.2019.2906393 https://www.wikidata.org/entity/Q128137672 db/journals/tac/tac64.html#ThemelisP19

Ben Hermans Andreas Themelis Panagiotis Patrinos QPALM: A Newton-type Proximal Augmented Lagrangian Method for Quadratic Programs. 4325-4330 2019 CDC https://doi.org/10.1109/CDC40024.2019.9030211 conf/cdc/2019 db/conf/cdc/cdc2019.html#HermansTP19 Alexander Katriniok Pantelis Sopasakis Mathijs Schuurmans Panagiotis Patrinos Nonlinear Model Predictive Control for Distributed Motion Planning in Road Intersections Using PANOC. 5272-5278 2019 CDC https://doi.org/10.1109/CDC40024.2019.9029703 conf/cdc/2019 db/conf/cdc/cdc2019.html#KatriniokSSP19 Mathijs Schuurmans Pantelis Sopasakis Panagiotis Patrinos Safe Learning-Based Control of Stochastic Jump Linear Systems: a Distributionally Robust Approach. 6498-6503 2019 CDC https://doi.org/10.1109/CDC40024.2019.9029946 conf/cdc/2019 db/conf/cdc/cdc2019.html#SchuurmansSP19 Pantelis Sopasakis Mathijs Schuurmans Panagiotis Patrinos Risk-averse risk-constrained optimal control. 375-380 2019 ECC https://doi.org/10.23919/ECC.2019.8796021 conf/eucc/2019 db/conf/eucc/eucc2019.html#SopasakisSP19 Pantelis Sopasakis Krina Menounou Panagiotis Patrinos SuperSCS: fast and accurate large-scale conic optimization. 1500-1505 2019 ECC https://doi.org/10.23919/ECC.2019.8796286 conf/eucc/2019 db/conf/eucc/eucc2019.html#SopasakisMP19 Elias Small Pantelis Sopasakis Emil Fresk Panagiotis Patrinos George Nikolakopoulos Aerial navigation in obstructed environments with embedded nonlinear model predictive control. 3556-3563 2019 ECC https://doi.org/10.23919/ECC.2019.8796236 conf/eucc/2019 db/conf/eucc/eucc2019.html#SmallSFPN19

Mathijs Schuurmans Pantelis Sopasakis Panagiotis Patrinos Safe Learning-Based Control of Stochastic Jump Linear Systems: a Distributionally Robust Approach. 2019 abs/1903.10040 CoRR http://arxiv.org/abs/1903.10040 db/journals/corr/corr1903.html#abs-1903-10040

Alexander Katriniok Pantelis Sopasakis Mathijs Schuurmans Panagiotis Patrinos Nonlinear Model Predictive Control for Distributed Motion Planning in Road Intersections Using PANOC. 2019 abs/1903.12091 CoRR http://arxiv.org/abs/1903.12091 db/journals/corr/corr1903.html#abs-1903-12091

Masoud Ahookhosh Le Thi Khanh Hien Nicolas Gillis Panagiotis Patrinos Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization. 2019 abs/1908.01402 CoRR http://arxiv.org/abs/1908.01402 db/journals/corr/corr1908.html#abs-1908-01402

Peter Coppens Mathijs Schuurmans Panagiotis Patrinos Data-driven distributionally robust LQR with multiplicative noise. 2019 abs/1912.09990 CoRR http://arxiv.org/abs/1912.09990 db/journals/corr/corr1912.html#abs-1912-09990

Pantelis Sopasakis Ajay K. Sampathirao Alberto Bemporad Panagiotis Patrinos Uncertainty-aware demand management of water distribution networks in deregulated energy markets. 10-22 2018 101 Environ. Model. Softw. https://doi.org/10.1016/j.envsoft.2017.11.035 db/journals/envsoft/envsoft101.html#SopasakisSBP18

Andreas Themelis Lorenzo Stella Panagiotis Patrinos Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms. 2274-2303 2018 28 SIAM J. Optim. 3 https://doi.org/10.1137/16M1080240 https://www.wikidata.org/entity/Q129351495 db/journals/siamjo/siamjo28.html#ThemelisSP18

Ajay K. Sampathirao Pantelis Sopasakis Alberto Bemporad Panagiotis Patrinos GPU-Accelerated Stochastic Predictive Control of Drinking Water Networks. 551-562 2018 26 IEEE Trans. Control. Syst. Technol. 2 https://doi.org/10.1109/TCST.2017.2677741 https://www.wikidata.org/entity/Q57009357 db/journals/tcst/tcst26.html#SampathiraoSBP18

Puya Latafat Panagiotis Patrinos Multi-agent structured optimization over message-passing architectures with bounded communication delays. 1688-1693 2018 CDC https://doi.org/10.1109/CDC.2018.8619278 conf/cdc/2018 db/conf/cdc/cdc2018.html#LatafatP18 Puya Latafat Alberto Bemporad Panagiotis Patrinos Plug and Play Distributed Model Predictive Control with Dynamic Coupling: A Randomized Primal-Dual Proximal Algorithm. 1160-1165 2018 ECC https://doi.org/10.23919/ECC.2018.8550270 conf/eucc/2018 db/conf/eucc/eucc2018.html#LatafatBP18 Ajay Sathya Pantelis Sopasakis Ruben Van Parys Andreas Themelis Goele Pipeleers Panagiotis Patrinos Embedded nonlinear model predictive control for obstacle avoidance using PANOC. 1523-1528 2018 ECC https://doi.org/10.23919/ECC.2018.8550253 conf/eucc/2018 db/conf/eucc/eucc2018.html#SathyaSPTPP18

Yuri Murillo Bertold Van den Bergh Jona Beysens Alexander Bertrand Wim Dehaene Panagiotis Patrinos Tinne Tuytelaars Ruth Vazquez Sabariego Marian Verhelst Patrick Wambacq Sofie Pollin Multidisciplinary Learning through Implementation of the DVB-S2 Standard. 124-130 2017 55 IEEE Commun. Mag. 5 https://doi.org/10.1109/MCOM.2017.1700007 db/journals/cm/cm55.html#MurilloBBBDPTSV17

Lorenzo Stella Andreas Themelis Panagiotis Patrinos Forward-backward quasi-Newton methods for nonsmooth optimization problems. 443-487 2017 67 Comput. Optim. Appl. 3 https://doi.org/10.1007/s10589-017-9912-y db/journals/coap/coap67.html#StellaTP17

Puya Latafat Panagiotis Patrinos Asymmetric forward-backward-adjoint splitting for solving monotone inclusions involving three operators. 57-93 2017 68 Comput. Optim. Appl. 1 https://doi.org/10.1007/s10589-017-9909-6 db/journals/coap/coap68.html#LatafatP17

Lorenzo Stella Andreas Themelis Pantelis Sopasakis Panagiotis Patrinos A simple and efficient algorithm for nonlinear model predictive control. 1939-1944 2017 CDC https://doi.org/10.1109/CDC.2017.8263933 conf/cdc/2017 db/conf/cdc/cdc2017.html#StellaTSP17 Pantelis Sopasakis Andreas Themelis Johan A. K. Suykens Panagiotis Patrinos A primal-dual line search method and applications in image processing. 1065-1069 2017 EUSIPCO https://doi.org/10.23919/EUSIPCO.2017.8081371 conf/eusipco/2017 db/conf/eusipco/eusipco2017.html#SopasakisTSP17 Domagoj Herceg George K. Georgoulas Pantelis Sopasakis Miguel Castano Panagiotis Patrinos Alberto Bemporad Jan Niemi George Nikolakopoulos Data-driven modelling, learning and stochastic predictive control for the steel industry. 1361-1366 2017 MED https://doi.org/10.1109/MED.2017.7984308 conf/med/2017 db/conf/med/med2017.html#HercegGSCPBNN17 Nikolaos M. Freris Panagiotis Patrinos Distributed computing over encrypted data. 1116-1122 2016 Allerton https://doi.org/10.1109/ALLERTON.2016.7852360 conf/allerton/2016 db/conf/allerton/allerton2016.html#FrerisP16 Puya Latafat Lorenzo Stella Panagiotis Patrinos New primal-dual proximal algorithm for distributed optimization. 1959-1964 2016 CDC https://doi.org/10.1109/CDC.2016.7798551 conf/cdc/2016 db/conf/cdc/cdc2016.html#LatafatSP16 Andreas Themelis Silvia Villa Panagiotis Patrinos Alberto Bemporad Stochastic gradient methods for stochastic model predictive control. 154-159 2016 ECC https://doi.org/10.1109/ECC.2016.7810279 conf/eucc/2016 db/conf/eucc/eucc2016.html#ThemelisVPB16 Pantelis Sopasakis Nikolaos M. Freris Panagiotis Patrinos Accelerated reconstruction of a compressively sampled data stream. 1078-1082 2016 EUSIPCO https://doi.org/10.1109/EUSIPCO.2016.7760414 conf/eusipco/2016 db/conf/eusipco/eusipco2016.html#SopasakisFP16

Panagiotis Patrinos Alberto Guiggiani Alberto Bemporad A dual gradient-projection algorithm for model predictive control in fixed-point arithmetic. 226-235 2015 55 Autom. https://doi.org/10.1016/j.automatica.2015.03.002 db/journals/automatica/automatica55.html#PatrinosGB15

Pantelis Sopasakis Panagiotis Patrinos Haralambos Sarimveis Alberto Bemporad Model Predictive Control for Linear Impulsive Systems. 2277-2282 2015 60 IEEE Trans. Autom. Control. 8 https://doi.org/10.1109/TAC.2014.2380672 db/journals/tac/tac60.html#SopasakisPSB15

Alberto Guiggiani Ilya V. Kolmanovsky Panagiotis Patrinos Alberto Bemporad Fixed-point constrained Model Predictive Control of spacecraft attitude. 2317-2322 2015 ACC https://doi.org/10.1109/ACC.2015.7171078 conf/amcc/2015 db/conf/amcc/acc2015.html#GuiggianiKPB15 Ajay K. Sampathirao Pantelis Sopasakis Alberto Bemporad Panagiotis Patrinos Distributed solution of stochastic optimal control problems on GPUs. 7183-7188 2015 CDC https://doi.org/10.1109/CDC.2015.7403352 conf/cdc/2015 db/conf/cdc/cdc2015.html#SampathiraoSBP15 Alberto Guiggiani Ilya V. Kolmanovsky Panagiotis Patrinos Alberto Bemporad Constrained Model Predictive Control of spacecraft attitude with reaction wheels desaturation. 1382-1387 2015 ECC https://doi.org/10.1109/ECC.2015.7330731 conf/eucc/2015 db/conf/eucc/eucc2015.html#GuiggianiKPB15

Alberto Bemporad Daniele Bernardini 0001 Panagiotis Patrinos A Convex Feasibility Approach to Anytime Model Predictive Control. 2015 abs/1502.07974 CoRR http://arxiv.org/abs/1502.07974 db/journals/corr/corr1502.html#BemporadBP15

Panagiotis Patrinos Pantelis Sopasakis Haralambos Sarimveis Alberto Bemporad Stochastic model predictive control for constrained discrete-time Markovian switching systems. 2504-2514 2014 50 Autom. 10 https://doi.org/10.1016/j.automatica.2014.08.031 db/journals/automatica/automatica50.html#PatrinosSSB14

Pantelis Sopasakis Panagiotis Patrinos Haralambos Sarimveis Robust model predictive control for optimal continuous drug administration. 193-204 2014 116 Comput. Methods Programs Biomed. 3 https://doi.org/10.1016/j.cmpb.2014.06.003 https://www.wikidata.org/entity/Q51070954 db/journals/cmpb/cmpb116.html#SopasakisPS14

Panagiotis Patrinos Alberto Bemporad An Accelerated Dual Gradient-Projection Algorithm for Embedded Linear Model Predictive Control. 18-33 2014 59 IEEE Trans. Autom. Control. 1 https://doi.org/10.1109/TAC.2013.2275667 db/journals/tac/tac59.html#PatrinosB14

Pantelis Sopasakis Panagiotis Patrinos Haralambos Sarimveis MPC for Sampled-Data Linear Systems: Guaranteeing Constraint Satisfaction in Continuous-Time. 1088-1093 2014 59 IEEE Trans. Autom. Control. 4 https://doi.org/10.1109/TAC.2013.2285786 db/journals/tac/tac59.html#SopasakisPS14

Matteo Rubagotti Panagiotis Patrinos Alberto Bemporad Stabilizing Linear Model Predictive Control Under Inexact Numerical Optimization. 1660-1666 2014 59 IEEE Trans. Autom. Control. 6 https://doi.org/10.1109/TAC.2013.2293451 https://www.wikidata.org/entity/Q59240909 db/journals/tac/tac59.html#RubagottiPB14

Panagiotis Patrinos Lorenzo Stella Alberto Bemporad Douglas-rachford splitting: Complexity estimates and accelerated variants. 4234-4239 2014 CDC https://doi.org/10.1109/CDC.2014.7040049 conf/cdc/2014 db/conf/cdc/cdc2014.html#PatrinosSB14 Andrei Patrascu Ion Necoara Panagiotis Patrinos A proximal alternating minimization method for ℓ0-regularized nonlinear optimization problems: application to state estimation. 4254-4259 2014 CDC https://doi.org/10.1109/CDC.2014.7040052 conf/cdc/2014 db/conf/cdc/cdc2014.html#PatrascuNP14 Panagiotis Patrinos Alberto Bemporad Proximal Newton methods for convex composite optimization. 2358-2363 2013 CDC https://doi.org/10.1109/CDC.2013.6760233 conf/cdc/2013 db/conf/cdc/cdc2013.html#PatrinosB13 Matteo Rubagotti Panagiotis Patrinos Alberto Bemporad Stabilizing embedded MPC with computational complexity guarantees. 3065-3070 2013 ECC https://doi.org/10.23919/ECC.2013.6669435 conf/eucc/2013 db/conf/eucc/eucc2013.html#RubagottiPB13 Panagiotis Patrinos Alberto Guiggiani Alberto Bemporad Fixed-point dual gradient projection for embedded model predictive control. 3602-3607 2013 ECC https://doi.org/10.23919/ECC.2013.6669412 conf/eucc/2013 db/conf/eucc/eucc2013.html#PatrinosGB13 Panagiotis Patrinos Alberto Bemporad An accelerated dual gradient-projection algorithm for linear model predictive control. 662-667 2012 CDC https://doi.org/10.1109/CDC.2012.6426458 conf/cdc/2012 db/conf/cdc/cdc2012.html#PatrinosB12 Pantelis Sopasakis Panagiotis Patrinos Haralambos Sarimveis Alberto Bemporad Model Predictive Control for Linear Impulsive Systems. 5164-5169 2012 CDC https://doi.org/10.1109/CDC.2012.6426243 conf/cdc/2012 db/conf/cdc/cdc2012.html#SopasakisPSB12

Panagiotis Patrinos Haralambos Sarimveis Convex parametric piecewise quadratic optimization: Theory and algorithms. 1770-1777 2011 47 Autom. 8 https://doi.org/10.1016/j.automatica.2011.04.003 db/journals/automatica/automatica47.html#PatrinosS11

Panagiotis Patrinos Pantelis Sopasakis Haralambos Sarimveis A global piecewise smooth Newton method for fast large-scale model predictive control. 2016-2022 2011 47 Autom. 9 https://doi.org/10.1016/j.automatica.2011.05.024 db/journals/automatica/automatica47.html#PatrinosSS11

Panagiotis Patrinos Sergio Trimboli Alberto Bemporad Stochastic MPC for real-time market-based optimal power dispatch. 7111-7116 2011 CDC/ECC https://doi.org/10.1109/CDC.2011.6160798 conf/cdc/2011 db/conf/cdc/cdc2011.html#PatrinosTB11

Panagiotis Patrinos Haralambos Sarimveis A new algorithm for solving convex parametric quadratic programs based on graphical derivatives of solution mappings. 1405-1418 2010 46 Autom. 9 https://doi.org/10.1016/j.automatica.2010.06.008 db/journals/automatica/automatica46.html#PatrinosS10

Panagiotis Patrinos Alex Alexandridis Konstantinos Ninos Haralambos Sarimveis Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation. 365-379 2010 20 Int. J. Neural Syst. 5 https://doi.org/10.1142/S0129065710002474 https://www.wikidata.org/entity/Q43447491 db/journals/ijns/ijns20.html#PatrinosANS10

Haralambos Sarimveis Panagiotis Patrinos Christos D. Tarantilis Chris T. Kiranoudis Dynamic modeling and control of supply chain systems: A review. 3530-3561 2008 35 Comput. Oper. Res. 11 https://doi.org/10.1016/j.cor.2007.01.017 https://www.wikidata.org/entity/Q28541099 db/journals/cor/cor35.html#SarimveisPTK08

Flavia Sofia Acerbo Sonny Achten Masoud Ahookhosh Alex Alexandridis Jean Pierre Allamaa Adam Arany Fernando de la Hucha Arce Miguel Castano ArranzMiguel Castano Pooya Ashtari Herman Van der Auweraer Pourya Behmandpoor Alberto Bemporad Bertold Van den Bergh Daniele Bernardini 0001 Alexander Bertrand Jona Beysens Alexander Bodard Arne Bouillon Lahcen El Bourkhissi Robin Bruneel Volkan Cevher Jonathan H. Chen Yingyi Chen Werner Coomans Peter Coppens Wim Dehaene Mark Eisen Brecht Evens Olivier Fercoq Nikolaos M. Freris Emil Fresk George K. Georgoulas Georgios Gerolymatos Susan Ghaderi Nicolas Gillis François Glineur Alberto Guiggiani Christian A. Hans Fateme Nateghi Haredasht Leander Hemelhof Domagoj Herceg Ben Hermans Le Thi Khanh Hien Sabine Van Huffel Mihailo R. Jovanovic Nenad S. Jovicic Despina Karamichailidou Alexander Katriniok Robin Kenis Chris T. Kiranoudis Fabian Kloosterman Ilya V. Kolmanovsky Alex Lambert Wouter Lanneer Puya Latafat Lieven De Lathauwer Emanuel Laude Hien Le Aleksandra Lekic Kristoffer Fink Løwenstein Ivan Markovsky Chris MeissenChristopher Ryan Meissen Krina Menounou Marc Moonen Yves Moreau Yuri Murillo Ion Necoara Phan Duy NhatDuy Nhat Phan Jan Niemi George Nikolakopoulos Konstantinos Ninos Dirk Nuyens Toshiyuki Ohtsuka Konstantinos A. Oikonomidis Ibrahim Kurban Özaslan Arun Pandey Ruben Van Parys Pieter Pas Andrei Patrascu Thomas Pethick Goele Pipeleers Sofie Pollin Jan Quan Jörg Raisch Carsten Reincke-Collon Teodor Rotaru Matteo Rubagotti Ruth Vazquez Sabariego Giovanni Samaey Ajay K. Sampathirao Haralambos Sarimveis Ajay Sathya Mathijs Schuurmans Rodolphe Sepulchre Miguel Simões Alexander Skupin Elias Small Tong Duy Son Pantelis Sopasakis Lorenzo Stella Johan A. K. Suykens Qinghua Tao Christos D. Tarantilis Matisse Teuwen Andreas Themelis Francesco Tonin Sergio Trimboli H. Eric TsengHongtei Eric Tseng Paschalis Tsiaflakis Tinne Tuytelaars Jeroen Verdyck Marian Verhelst Nico Vervliet Silvia Villa Patrick Wambacq Jia Wang 0042 Renzi Wang Jasper Wouters