Spyridon Pougkakiotis

发表

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

Luca Bergamaschi, Jacek Gondzio, John W. Pearson, 2019, Numer. Linear Algebra Appl..

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

Jacek Gondzio, Spyridon Pougkakiotis, J. Gondzio, 2019, Computational Optimization and Applications.

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

Jacek Gondzio, Spyridon Pougkakiotis, J. Gondzio, 2019, J. Optim. Theory Appl..

Fast Solution Methods for Convex Quadratic Optimization of Fractional Differential Equations

Jacek Gondzio, John W. Pearson, Spyridon Pougkakiotis, 2020, SIAM J. Matrix Anal. Appl..

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

Dionysios S. Kalogerias, Spyridon Pougkakiotis, 2022, 2205.01633.

Fast Solution Methods for Convex Fractional Differential Equation Optimization

J. Gondzio, J. Pearson, Spyridon Pougkakiotis, 2019, 1907.13428.

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

Dionysios S. Kalogerias, Spyridon Pougkakiotis, 2022, SIAM J. Sci. Comput..

A semismooth Newton-proximal method of multipliers for 𝓁1-regularized convex quadratic programming

Jacek Gondzio, Spyridon Pougkakiotis, J. Gondzio, 2022, ArXiv.

Risk-Constrained Nonconvex Functional Resource Allocation has Zero Duality Gap

Dionysios S. Kalogerias, Spyridon Pougkakiotis, 2022, 2206.11948.

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

Dionysios S. Kalogerias, Spyridon Pougkakiotis, Hassaan Hashmi, 2022, ArXiv.

Sparse Approximations with Interior Point Methods pdf

Daniela di Serafino, Jacek Gondzio, Valentina De Simone, 2021, SIAM Rev..

General-purpose preconditioning for regularized interior point methods

J. Gondzio, J. Pearson, Spyridon Pougkakiotis, 2021, Computational Optimization and Applications.

An active-set method for sparse approximations. Part I: Separable $\ell_1$ terms

Dionysios S. Kalogerias, J. Gondzio, Spyridon Pougkakiotis, 2022, 2201.10211.

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

Dionysios S. Kalogerias, J. Gondzio, Spyridon Pougkakiotis, 2023, 2302.14497.

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

Dionysios S. Kalogerias, Spyridon Pougkakiotis, Hassaan Hashmi, 2023, ArXiv.

Efficient KLMS and KRLS algorithms: A random fourier feature perspective

Sergios Theodoridis, Pantelis Bouboulis, Spyridon Pougkakiotis, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

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

J. Gondzio, Spyridon Pougkakiotis, 2019, Journal of Optimization Theory and Applications.

Sparse Approximations with Interior Point Methods

J. Gondzio, Spyridon Pougkakiotis, D. Serafino, 2021, SIAM Rev..

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

J. Gondzio, Spyridon Pougkakiotis, 2020, Journal of Optimization Theory and Applications.

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

J. Gondzio, L. Bergamaschi, J. Pearson, 2019, Numer. Linear Algebra Appl..

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

Dionysios S. Kalogerias, Spyridon Pougkakiotis, Hassaan Hashmi, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Dionysios S. Kalogerias, Spyridon Pougkakiotis, Hassaan Hashmi, 2023, IEEE Transactions on Signal Processing.