Panagiotis Patrinos
Orcid: 0000-0003-4824-7697
According to our database1,
Panagiotis Patrinos
authored at least 121 papers
between 2008 and 2024.
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Bibliography
2024
Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions.
Appl. Math. Comput., March, 2024
Learning Based NMPC Adaptation for Autonomous Driving using Parallelized Digital Twin.
CoRR, 2024
Intraday Power Trading for Imbalance Markets: An Adaptive Risk-Averse Strategy using Mixture Models.
CoRR, 2024
Real-time MPC with Control Barrier Functions for Autonomous Driving using Safety Enhanced Collocation.
CoRR, 2024
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Dualities for Non-Euclidean Smoothness and Strong Convexity under the Light of Generalized Conjugacy.
SIAM J. Optim., December, 2023
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach.
Artif. Intell., July, 2023
A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems.
IEEE Trans. Autom. Control., May, 2023
IEEE Control. Syst. Lett., 2023
PANTR: A Proximal Algorithm With Trust-Region Updates for Nonconvex Constrained Optimization.
IEEE Control. Syst. Lett., 2023
Fast data-driven iterative learning control for linear system with output disturbance.
CoRR, 2023
CoRR, 2023
On the convergence of adaptive first order methods: proximal gradient and alternating minimization algorithms.
CoRR, 2023
Zeroth-order Asynchronous Learning with Bounded Delays with a Use-case in Resource Allocation in Communication Networks.
CoRR, 2023
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands.
CoRR, 2023
Nonlinear SVD with Asymmetric Kernels: feature learning and asymmetric Nyström method.
CoRR, 2023
Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers.
CoRR, 2023
CoRR, 2023
Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Solving stochastic weak Minty variational inequalities without increasing batch size.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Model-Free Decentralized Training for Deep Learning Based Resource Allocation in Communication Networks.
Proceedings of the 31st European Signal Processing Conference, 2023
Proceedings of the European Control Conference, 2023
Data-Driven Output Matching of Output-Generalized Bilinear and Linear Parameter-Varying systems.
Proceedings of the European Control Conference, 2023
Proceedings of the European Control Conference, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Linearized ADMM for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Bregman Finito/MISO for Nonconvex Regularized Finite Sum Minimization without Lipschitz Gradient Continuity.
SIAM J. Optim., September, 2022
SIAM J. Math. Data Sci., 2022
Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays.
Optim. Methods Softw., 2022
Math. Program. Comput., 2022
Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems.
Math. Program., 2022
IEEE Control. Syst. Lett., 2022
Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control.
CoRR, 2022
SPIRAL: A Superlinearly Convergent Incremental Proximal Algorithm for Nonconvex Finite Sum Minimization.
CoRR, 2022
Douglas-Rachford splitting and ADMM for nonconvex optimization: accelerated and Newton-type linesearch algorithms.
Comput. Optim. Appl., 2022
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization.
Proceedings of the European Control Conference, 2022
Proceedings of the European Control Conference, 2022
2021
A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima.
SIAM J. Optim., 2021
Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints.
Neural Networks, 2021
A Block Inertial Bregman Proximal Algorithm for Nonsmooth Nonconvex Problems with Application to Symmetric Nonnegative Matrix Tri-Factorization.
J. Optim. Theory Appl., 2021
Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization.
Comput. Optim. Appl., 2021
Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
Data-driven distributionally robust control of partially observable jump linear systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 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
Multi-Pattern Recognition Through Maximization of Signal-to-Peak-Interference Ratio With Application to Neural Spike Sorting.
IEEE Trans. Signal Process., 2020
IEEE Trans. Control. Syst. Technol., 2020
On the Convexity of Bit Depth Allocation for Linear MMSE Estimation in Wireless Sensor Networks.
IEEE Signal Process. Lett., 2020
Douglas-Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results.
SIAM J. Optim., 2020
Int. J. Circuit Theory Appl., 2020
Learning-Based Risk-Averse Model Predictive Control for Adaptive Cruise Control with Stochastic Driver Models.
CoRR, 2020
CoRR, 2020
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 28th European Signal Processing Conference, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Learning-Based Distributionally Robust Model Predictive Control of Markovian Switching Systems with Guaranteed Stability and Recursive Feasibility.
Proceedings of the 59th IEEE Conference on Decision and Control, 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
A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization.
IEEE Trans. Autom. Control., 2019
Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization.
CoRR, 2019
IEEE Access, 2019
Proceedings of the 17th European Control Conference, 2019
Proceedings of the 17th European Control Conference, 2019
Aerial navigation in obstructed environments with embedded nonlinear model predictive control.
Proceedings of the 17th European Control Conference, 2019
Safe Learning-Based Control of Stochastic Jump Linear Systems: a Distributionally Robust Approach.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Nonlinear Model Predictive Control for Distributed Motion Planning in Road Intersections Using PANOC.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
IEEE Trans. Control. Syst. Technol., 2018
Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms.
SIAM J. Optim., 2018
Uncertainty-aware demand management of water distribution networks in deregulated energy markets.
Environ. Model. Softw., 2018
Proceedings of the 16th European Control Conference, 2018
Plug and Play Distributed Model Predictive Control with Dynamic Coupling: A Randomized Primal-Dual Proximal Algorithm.
Proceedings of the 16th European Control Conference, 2018
Multi-agent structured optimization over message-passing architectures with bounded communication delays.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Comput. Optim. Appl., 2017
Asymmetric forward-backward-adjoint splitting for solving monotone inclusions involving three operators.
Comput. Optim. Appl., 2017
IEEE Commun. Mag., 2017
Data-driven modelling, learning and stochastic predictive control for the steel industry.
Proceedings of the 25th Mediterranean Conference on Control and Automation, 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 24th European Signal Processing Conference, 2016
Proceedings of the 15th European Control Conference, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
2015
IEEE Trans. Autom. Control., 2015
A dual gradient-projection algorithm for model predictive control in fixed-point arithmetic.
Autom., 2015
Constrained Model Predictive Control of spacecraft attitude with reaction wheels desaturation.
Proceedings of the 14th European Control Conference, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the American Control Conference, 2015
2014
MPC for Sampled-Data Linear Systems: Guaranteeing Constraint Satisfaction in Continuous-Time.
IEEE Trans. Autom. Control., 2014
IEEE Trans. Autom. Control., 2014
An Accelerated Dual Gradient-Projection Algorithm for Embedded Linear Model Predictive Control.
IEEE Trans. Autom. Control., 2014
Comput. Methods Programs Biomed., 2014
Stochastic model predictive control for constrained discrete-time Markovian switching systems.
Autom., 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
A proximal alternating minimization method for ℓ0-regularized nonlinear optimization problems: application to state estimation.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
2013
Proceedings of the 12th European Control Conference, 2013
Proceedings of the 12th European Control Conference, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
An accelerated dual gradient-projection algorithm for linear model predictive control.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
A global piecewise smooth Newton method for fast large-scale model predictive control.
Autom., 2011
Autom., 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation.
Int. J. Neural Syst., 2010
A new algorithm for solving convex parametric quadratic programs based on graphical derivatives of solution mappings.
Autom., 2010
2008
Comput. Oper. Res., 2008