Spyridon Pougkakiotis

About

Work

King's College London

United Kingdom of Great Britain and Northern Ireland

Yale University
|

Postdoctoral Research Associate

US

→

University of Dundee
|

Academic, Lecturer (Teaching and Research)

United Kingdom of Great Britain and Northern Ireland

→

University of Dundee
|

Academic, Lecturer (Teaching and Research)

United Kingdom of Great Britain and Northern Ireland

→

University of Edinburgh
|

Research Assistant

United Kingdom of Great Britain and Northern Ireland

→

Education

The University of Edinburgh
United Kingdom of Great Britain and Northern Ireland

→

PhD in Optimization and Operational Research

University of Edinburgh
United Kingdom of Great Britain and Northern Ireland

→

MSc in Operational Research with Computational Optimization

National and Kapodistrian University of Athens
Greece

→

BSc in Computer Science

Publications

Data-Driven Learning of Two-Stage Beamformers in Passive IRS-Assisted Systems with Inexact Oracles

Published by

IEEE Access

Summary

journal-article

Data-Driven Learning of Two-Stage Beamformers in Passive IRS-Assisted Systems With Inexact Oracles

Published by

IEEE Access

Summary

journal-article

An Efficient Active-Set method With Applications to Sparse Approximations and Risk Minimization

Published by

JOURNAL OF SCIENTIFIC COMPUTING

Summary

journal-article

An Efficient Active-Set method With Applications to Sparse Approximations and Risk Minimization

Published by

Journal of Scientific Computing

Summary

journal-article

Strong Duality Relations in Nonconvex Risk-Constrained Learning

Published by

58th Annual Conference on Information Sciences and Systems (CISS), Princeton, United States, 13/03/24

Summary

conference-presentation

Strong Duality Relations in Nonconvex Risk-Constrained Learning

Published by

58th Annual Conference on Information Sciences and Systems (CISS), Princeton, United States, 13/03/24

Summary

conference-paper

Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design

Published by

IEEE Transactions on Signal Processing

Summary

journal-article

Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design

Published by

IEEE Transactions on Signal Processing

Summary

journal-article

Strong Duality Relations in Nonconvex Risk-Constrained Learning

Published by

2024 58th Annual Conference on Information Sciences and Systems, CISS 2024

Summary

conference-paper

Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization

Published by

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Summary

conference-paper

Model-free learning of optimal beamformers for passive IRS-assisted sumrate maximization

Published by

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Summary

conference-paper

A Zeroth-Order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization

Published by

SIAM Journal on Scientific Computing

Summary

journal-article

A zeroth-order proximal stochastic gradient method for weakly convex stochastic optimization

Published by

SIAM Journal on Scientific Computing

Summary

journal-article

Model-free learning of optimal beamformers for passive IRS-assisted sumrate maximization

Published by

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

Summary

conference-paper

A Zeroth-Order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization

Published by

SIAM JOURNAL ON SCIENTIFIC COMPUTING

Summary

journal-article

A Zeroth-Order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization

Published by

SIAM Journal on Scientific Computing

Summary

journal-article

An active-set method for sparse approximations. Part II: General piecewise-linear terms

Published by

arXiv

Summary

other

An active-set method for sparse approximations. Part II: General piecewise-linear terms

Published by

arXiv

Summary

other

Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design

Published by

IEEE Transactions on Signal Processing

Summary

journal-article

Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design

Published by

IEEE Trans. on Signal Processing

Summary

journal-article

Model-Free Learning of Optimal Two-Stage Beamformers for Passive IRS-Aided Network Design

Published by

arXiv

Summary

other

Model-Free Learning of Optimal Two-Stage Beamformers for Passive IRS-Aided Network Design

Published by

arXiv

Summary

other

MODEL-FREE LEARNING OF OPTIMAL BEAMFORMERS FOR PASSIVE IRS-ASSISTED SUMRATE MAXIMIZATION

Published by

arXiv

Summary

other

MODEL-FREE LEARNING OF OPTIMAL BEAMFORMERS FOR PASSIVE IRS-ASSISTED SUMRATE MAXIMIZATION

Published by

arXiv

Summary

other

A Zeroth-order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization

Published by

arXiv

Summary

other

A Zeroth-order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization

Published by

arXiv

Summary

other

General-purpose preconditioning for regularized interior point methods

Published by

COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Summary

journal-article

General-purpose preconditioning for regularized interior point methods

Published by

Computational Optimization and Applications

Summary

journal-article

General-purpose preconditioning for regularized interior point methods

Published by

Computational Optimization and Applications

Summary

journal-article

Sparse Approximations with Interior Point Methods

Published by

SIAM Review

Summary

journal-article

Sparse Approximations with Interior Point Methods

Published by

SIAM REVIEW

Summary

journal-article

Sparse Approximations with Interior Point Methods

Published by

SIAM Review

Summary

journal-article

Sparse Approximations with Interior Point Methods

Published by

SIAM Review

Summary

journal-article

Sparse Approximations with Interior Point Methods

Published by

SIAM Review

Summary

journal-article

An Interior Point-Proximal Method of Multipliers for Linear Positive Semi-Definite Programming

Published by

Journal of Optimization Theory and Applications

Summary

journal-article

An Interior Point-Proximal Method of Multipliers for Linear Positive Semi-Definite Programming

Published by

Journal of Optimization Theory and Applications

Summary

journal-article

An interior point-proximal method of multipliers for linear positive semi-definite programming

Published by

Journal of Optimization Theory and Applications

Summary

journal-article

An Interior Point-Proximal Method of Multipliers for Linear Positive Semi-Definite Programming

Published by

Journal of Optimization Theory and Applications

Summary

journal-article

An Interior Point-Proximal Method of Multipliers for Linear Positive Semi-Definite Programming

Published by

Journal of Optimization Theory and Applications

Summary

journal-article

An Interior Point-Proximal Method of Multipliers for Linear Positive Semi-Definite Programming

Published by

Journal of Optimization Theory and Applications

Summary

journal-article

An Interior Point-Proximal Method of Multipliers for Linear Positive Semi-Definite Programming

Published by

Journal of Optimization Theory and Applications

Summary

journal-article

An active-set method for sparse approximations Part I: Separable ℓ<sub>1</sub> terms

Published by

arXiv

Summary

other

An active-set method for sparse approximations Part I: Separable ℓ<sub>1</sub> terms

Published by

arXiv

Summary

other

Risk-Constrained Nonconvex Functional Resource Allocation has Zero Duality Gap

Published by

arXiv

Summary

other

Risk-Constrained Nonconvex Functional Resource Allocation has Zero Duality Gap

Published by

arXiv

Summary

other

General-purpose preconditioning for regularized interior point methods

Published by

Computational Optimization and Applications

Summary

journal-article

General-purpose preconditioning for regularized interior point methods

Published by

Computational Optimization and Applications

Summary

journal-article

General-purpose preconditioning for regularized interior point methods

Published by

Computational Optimization and Applications

Summary

journal-article

General-purpose preconditioning for regularized interior point methods

Published by

Computational Optimization and Applications

Summary

journal-article

General-purpose preconditioning for regularized interior point methods

Published by

arXiv

Summary

other

An interior point-proximal method of multipliers for convex quadratic programming

Published by

Computational Optimization and Applications

Summary

journal-article

General-purpose preconditioning for regularized interior point methods

Published by

arXiv

Summary

other

A new preconditioning approach for an interior point‐proximal method of multipliers for linear and convex quadratic programming

Published by

Numerical Linear Algebra with Applications

Summary

journal-article

A new preconditioning approach for an interior point‐proximal method of multipliers for linear and convex quadratic programming

Published by

Numerical Linear Algebra with Applications

Summary

journal-article

A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming

Published by

Numerical Linear Algebra with Applications

Summary

journal-article

An interior point-proximal method of multipliers for convex quadratic programming

Published by

Computational Optimization and Applications

Summary

journal-article

A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming

Published by

Numerical Linear Algebra with Applications

Summary

journal-article

An interior point-proximal method of multipliers for convex quadratic programming

Published by

Computational Optimization and Applications

Summary

journal-article

Sparse approximations with interior point methods

Published by

arXiv

Summary

other

Sparse approximations with interior point methods

Published by

arXiv

Summary

other

A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming

Published by

Numerical Linear Algebra with Applications

Summary

journal-article

An interior point-proximal method of multipliers for convex quadratic programming

Published by

Computational Optimization and Applications

Summary

journal-article

A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming

Published by

Numerical Linear Algebra with Applications

Summary

journal-article

An interior point-proximal method of multipliers for convex quadratic programming

Published by

COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Summary

journal-article

An interior point-proximal method of multipliers for convex quadratic programming

Published by

Computational Optimization and Applications

Summary

journal-article

An interior point-proximal method of multipliers for positive semi-definite programming

Published by

arXiv

Summary

other

An interior point-proximal method of multipliers for positive semi-definite programming

Published by

arXiv

Summary

other

An interior point-proximal method of multipliers for convex quadratic programming

Published by

Computational Optimization and Applications

Summary

journal-article

Fast Solution Methods for Convex Quadratic Optimization of Fractional Differential Equations

Published by

SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS

Summary

journal-article

Fast Solution Methods for Convex Quadratic Optimization of Fractional Differential Equations

Published by

SIAM Journal on Matrix Analysis and Applications

Summary

journal-article

Fast solution methods for convex quadratic optimization of fractional differential equations

Published by

SIAM Journal on Matrix Analysis and Applications

Summary

journal-article

Fast solution methods forconvex quadratic optimization of fractional differential equations

Published by

SIAM Journal on Matrix Analysis and Applications

Summary

journal-article

Fast solution methods forconvex quadratic optimization of fractional differential equations

Published by

SIAM Journal on Matrix Analysis and Applications

Summary

journal-article

Fast Solution Methods for Convex Quadratic Optimization of Fractional Differential Equations

Published by

SIAM Journal on Matrix Analysis and Applications

Summary

journal-article

Fast Solution Methods for Convex Quadratic Optimization of Fractional Differential Equations

Published by

SIAM Journal on Matrix Analysis and Applications

Summary

journal-article

Dynamic non-diagonal regularization in interior point methods for linear and convex quadratic programming

Published by

arXiv

Summary

other

A new preconditioning approach for an interior point–proximal method of multipliers for linear and convex quadratic programming

Published by

arXiv

Summary

other

An interior point-proximal method of multipliers for convex quadratic programming

Published by

arXiv

Summary

other

An interior point-proximal method of multipliers for convex quadratic programming

Published by

arXiv

Summary

other

A new preconditioning approach for an interior point–proximal method of multipliers for linear and convex quadratic programming

Published by

arXiv

Summary

other

Dynamic Non-diagonal Regularization in Interior Point Methods for Linear and Convex Quadratic Programming

Published by

Journal of Optimization Theory and Applications

Summary

journal-article

Fast solution methods for convex Fractional Differential Equation optimization

Published by

arXiv

Summary

other

Fast solution methods for convex Fractional Differential Equation optimization

Published by

arXiv

Summary

other

Dynamic Non-diagonal Regularization in Interior Point Methods for Linear and Convex Quadratic Programming

Published by

Journal of Optimization Theory and Applications

Summary

journal-article

Dynamic Non-diagonal Regularization in Interior Point Methods for Linear and Convex Quadratic Programming

Published by

Journal of Optimization Theory and Applications

Summary

journal-article

Dynamic Non-diagonal Regularization in Interior Point Methods for Linear and Convex Quadratic Programming

Published by

Journal of Optimization Theory and Applications

Summary

journal-article

Dynamic Non-diagonal Regularization in Interior Point Methods for Linear and Convex Quadratic Programming

Published by

Journal of Optimization Theory and Applications

Summary

journal-article

Dynamic non-diagonal regularization in interior point methods for linear and convex quadratic programming

Published by

arXiv

Summary

other

Dynamic Non-diagonal Regularization in Interior Point Methods for Linear and Convex Quadratic Programming

Published by

Journal of Optimization Theory and Applications

Summary

journal-article

Dynamic non-diagonal regularization in interior point methods for linear and convex quadratic programming

Published by

arXiv

Summary

other

A new preconditioning approach for an interior point–proximal method of multipliers for linear and convex quadratic programming

Published by

arXiv

Summary

other

Efficient KLMS and KRLS algorithms

Published by

2016 IEEE Statistical Signal Processing Workshop (SSP)

Summary

conference-paper

Efficient KLMS and KRLS algorithms: A random Fourier feature perspective

Published by

2016 IEEE Statistical Signal Processing Workshop (SSP)

Summary

conference-paper

Efficient KLMS and KRLS algorithms: A random fourier feature perspective

Published by

IEEE Workshop on Statistical Signal Processing Proceedings

Summary

conference-paper

Efficient KLMS and KRLS algorithms: A random Fourier feature perspective

Published by

IEEE/SP Workshop on Statistical Signal Processing (SSP)

Summary

conference-paper

Efficient KLMS and KRLS algorithms: A random fourier feature perspective

Published by

IEEE Workshop on Statistical Signal Processing Proceedings

Summary

conference-paper