Efficient KLMS and KRLS algorithms: A random fourier feature perspective. - Pantelis Bouboulis; Spyridon Pougkakiotis; Sergios Theodoridis (SSP, 2016)

Dynamic Non-diagonal Regularization in Interior Point Methods for Linear and Convex Quadratic Programming. - Spyridon Pougkakiotis; Jacek Gondzio (J. Optim. Theory Appl., 2019)

Fast Solution Methods for Convex Quadratic Optimization of Fractional Differential Equations. - Spyridon Pougkakiotis; John W. Pearson; Santolo Leveque; Jacek Gondzio (SIAM J. Matrix Anal. Appl., 2020)

An interior point-proximal method of multipliers for convex quadratic programming. - Spyridon Pougkakiotis; Jacek Gondzio (Comput. Optim. Appl., 2021)

A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming. - Luca Bergamaschi; Jacek Gondzio; Ángeles Martínez 001; John W. Pearson; Spyridon Pougkakiotis (Numer. Linear Algebra Appl., 2021)

General-purpose preconditioning for regularized interior point methods. - Jacek Gondzio; Spyridon Pougkakiotis; John W. Pearson (Comput. Optim. Appl., 2022)

A semismooth Newton-proximal method of multipliers for 𝓁1-regularized convex quadratic programming. - Spyridon Pougkakiotis; Jacek Gondzio (CoRR, 2022)

An Interior Point-Proximal Method of Multipliers for Linear Positive Semi-Definite Programming. - Spyridon Pougkakiotis; Jacek Gondzio (J. Optim. Theory Appl., 2022)

Sparse Approximations with Interior Point Methods. - Valentina De Simone; Daniela di Serafino; Jacek Gondzio; Spyridon Pougkakiotis; Marco Viola (SIAM Rev., 2022)

Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization. - Hassaan Hashmi; Spyridon Pougkakiotis; Dionysios S. Kalogerias (ICASSP, 2023)

Model-Free Learning of Optimal Two-Stage Beamformers for Passive IRS-Aided Network Design. - Hassaan Hashmi; Spyridon Pougkakiotis; Dionysios S. Kalogerias (CoRR, 2023)

A Zeroth-Order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization. - Spyridon Pougkakiotis; Dionysis Kalogerias (SIAM J. Sci. Comput., 2023)

Strong Duality Relations in Nonconvex Risk-Constrained Learning. - Dionysis Kalogerias; Spyridon Pougkakiotis (CISS, 2024)

Data-Driven Learning of Two-Stage Beamformers in Passive IRS-Assisted Systems with Inexact Oracles. - Spyridon Pougkakiotis; Hassaan Hashmi; Dionysis Kalogerias (CoRR, 2024)

Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design. - Hassaan Hashmi; Spyridon Pougkakiotis; Dionysis Kalogerias (IEEE Trans. Signal Process., 2024)

An Efficient Active-Set method With Applications to Sparse Approximations and Risk Minimization. - Spyridon Pougkakiotis; Jacek Gondzio; Dionysis Kalogerias (J. Sci. Comput., 2025)