Panagiotis Patrinos

Orcid: 0000-0003-4824-7697

According to our database1, Panagiotis Patrinos authored at least 129 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Radial basis function neural network training using variable projection and fuzzy means.
Neural Comput. Appl., November, 2024

Provably Stable Learning Control of Linear Dynamics With Multiplicative Noise.
IEEE Trans. Autom. Control., August, 2024

SPIRAL: a superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization.
Comput. Optim. Appl., May, 2024

Smoothing unadjusted Langevin algorithms for nonsmooth composite potential functions.
Appl. Math. Comput., March, 2024

Deep Kernel Principal Component Analysis for multi-level feature learning.
Neural Networks, 2024

Tensor-based multi-view spectral clustering via shared latent space.
Inf. Fusion, 2024

A Trust-Region Method for Data-Driven Iterative Learning Control of Nonlinear Systems.
IEEE Control. Syst. Lett., 2024

QPALM-OCP: A Newton-Type Proximal Augmented Lagrangian Solver Tailored for Quadratic Programs Arising in Model Predictive Control.
IEEE Control. Syst. Lett., 2024

Stability of Primal-Dual Gradient Flow Dynamics for Multi-Block Convex Optimization Problems.
CoRR, 2024

Quantization-free Lossy Image Compression Using Integer Matrix Factorization.
CoRR, 2024

EM++: A parameter learning framework for stochastic switching systems.
CoRR, 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

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

Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Proximal Gradient Methods Are Universal Without Approximation.
Proceedings of the Forty-first International Conference on Machine Learning, 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

Distributionally Robust Optimization Using Cost-Aware Ambiguity Sets.
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

Convergence of the Chambolle-Pock Algorithm in the Absence of Monotonicity.
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

Semi-Supervised Classification with Graph Convolutional Kernel Machines.
CoRR, 2023

Adaptive proximal algorithms for convex optimization under local Lipschitz continuity of the gradient.
CoRR, 2023

Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms.
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

Interaction-aware Model Predictive Control for Autonomous Driving.
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

Safety Envelope for Orthogonal Collocation Methods in Embedded Optimal Control.
Proceedings of the European Control Conference, 2023

Ordered Risk Minimization: Learning More from Less Data.
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

Block Bregman Majorization Minimization with Extrapolation.
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

QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs.
Math. Program. Comput., 2022

Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems.
Math. Program., 2022

Data-Driven Distributionally Robust MPC for Constrained Stochastic Systems.
IEEE Control. Syst. Lett., 2022

Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control.
CoRR, 2022

Sim2real for Autonomous Vehicle Control using Executable Digital Twin.
CoRR, 2022

Safe learning LQR of linear dynamics with multiplicative noise.
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

Learning-Based Resource Allocation with Dynamic Data Rate Constraints.
Proceedings of the IEEE International Conference on Acoustics, 2022

Federated Learning Based Resource Allocation for Wireless Communication Networks.
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

Learning MPC for Interaction-Aware Autonomous Driving: A Game-Theoretic Approach.
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

Block Alternating Bregman Majorization Minimization with Extrapolation.
CoRR, 2021

Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization.
Comput. Optim. Appl., 2021

A penalty method for nonlinear programs with set exclusion constraints.
Autom., 2021

Unsupervised Energy-based Out-of-distribution Detection using Stiefel-Restricted Kernel Machine.
Proceedings of the International Joint Conference on Neural Networks, 2021

Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach.
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

Risk-Averse Model Predictive Operation Control of Islanded Microgrids.
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

Microsecond nonlinear model predictive control for DC-DC converters.
Int. J. Circuit Theory Appl., 2020

Learning-Based Risk-Averse Model Predictive Control for Adaptive Cruise Control with Stochastic Driver Models.
CoRR, 2020

A block inertial Bregman proximal algorithm for nonsmooth nonconvex problems.
CoRR, 2020

OpEn: Code Generation for Embedded Nonconvex Optimization.
CoRR, 2020

Data-driven distributionally robust LQR with multiplicative noise.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020

A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition.
Proceedings of the 28th European Signal Processing Conference, 2020

A new envelope function for nonsmooth DC optimization.
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

Sample Complexity of Data-Driven Stochastic LQR with Multiplicative Uncertainty.
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

Newton-Type Alternating Minimization Algorithm for Convex Optimization.
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

Risk-averse model predictive control.
Autom., 2019

Optimal Dynamic Spectrum Management Algorithms for Multi-User Full-Duplex DSL.
IEEE Access, 2019

Risk-averse risk-constrained optimal control.
Proceedings of the 17th European Control Conference, 2019

SuperSCS: fast and accurate large-scale conic optimization.
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

QPALM: A Newton-type Proximal Augmented Lagrangian Method for Quadratic Programs.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
GPU-Accelerated Stochastic Predictive Control of Drinking Water Networks.
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

Embedded nonlinear model predictive control for obstacle avoidance using PANOC.
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
Forward-backward quasi-Newton methods for nonsmooth optimization problems.
Comput. Optim. Appl., 2017

Asymmetric forward-backward-adjoint splitting for solving monotone inclusions involving three operators.
Comput. Optim. Appl., 2017

Multidisciplinary Learning through Implementation of the DVB-S2 Standard.
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

A primal-dual line search method and applications in image processing.
Proceedings of the 25th European Signal Processing Conference, 2017

A simple and efficient algorithm for nonlinear model predictive control.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Accelerated reconstruction of a compressively sampled data stream.
Proceedings of the 24th European Signal Processing Conference, 2016

Stochastic gradient methods for stochastic model predictive control.
Proceedings of the 15th European Control Conference, 2016

New primal-dual proximal algorithm for distributed optimization.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Distributed computing over encrypted data.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Model Predictive Control for Linear Impulsive Systems.
IEEE Trans. Autom. Control., 2015

A Convex Feasibility Approach to Anytime Model Predictive Control.
CoRR, 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

Distributed solution of stochastic optimal control problems on GPUs.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Fixed-point constrained Model Predictive Control of spacecraft attitude.
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

Stabilizing Linear Model Predictive Control Under Inexact Numerical Optimization.
IEEE Trans. Autom. Control., 2014

An Accelerated Dual Gradient-Projection Algorithm for Embedded Linear Model Predictive Control.
IEEE Trans. Autom. Control., 2014

Robust model predictive control for optimal continuous drug administration.
Comput. Methods Programs Biomed., 2014

Stochastic model predictive control for constrained discrete-time Markovian switching systems.
Autom., 2014

Douglas-rachford splitting: Complexity estimates and accelerated variants.
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
Stabilizing embedded MPC with computational complexity guarantees.
Proceedings of the 12th European Control Conference, 2013

Fixed-point dual gradient projection for embedded model predictive control.
Proceedings of the 12th European Control Conference, 2013

Proximal Newton methods for convex composite optimization.
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

Convex parametric piecewise quadratic optimization: Theory and algorithms.
Autom., 2011

Stochastic MPC for real-time market-based optimal power dispatch.
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
Dynamic modeling and control of supply chain systems: A review.
Comput. Oper. Res., 2008


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