Spyridon Pougkakiotis

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Quadratic Programming

Sparse Approximations

Top Venues

J. Optim. Theory Appl.

Comput. Optim. Appl.

Publications

Dionysis Kalogerias, Spyridon Pougkakiotis
Strong Duality Relations in Nonconvex Risk-Constrained Learning. CISS (2024)
Hassaan Hashmi, Spyridon Pougkakiotis, Dionysios S. Kalogerias
Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design. IEEE Trans. Signal Process. 72 (2024)
Spyridon Pougkakiotis, Jacek Gondzio, Dionysis Kalogerias
An efficient active-set method with applications to sparse approximations and risk minimization. CoRR (2024)
Hassaan Hashmi, Spyridon Pougkakiotis, Dionysios S. Kalogerias
Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization. ICASSP (2023)
Dionysis S. Kalogerias, Spyridon Pougkakiotis
Strong Duality Relations in Nonconvex Risk-Constrained Learning. CoRR (2023)
Spyridon Pougkakiotis, Dionysios S. Kalogerias
A Zeroth-Order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization. SIAM J. Sci. Comput. 45 (5) (2023)
Hassaan Hashmi, Spyridon Pougkakiotis, Dionysios S. Kalogerias
Model-Free Learning of Optimal Two-Stage Beamformers for Passive IRS-Aided Network Design. CoRR (2023)
Spyridon Pougkakiotis, Jacek Gondzio
-regularized convex quadratic programming. CoRR (2022)
Spyridon Pougkakiotis, Jacek Gondzio
An Interior Point-Proximal Method of Multipliers for Linear Positive Semi-Definite Programming. J. Optim. Theory Appl. 192 (1) (2022)
Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola
Sparse Approximations with Interior Point Methods. SIAM Rev. 64 (4) (2022)
Hassaan Hashmi, Spyridon Pougkakiotis, Dionysios S. Kalogerias
Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization. CoRR (2022)
Jacek Gondzio, Spyridon Pougkakiotis, John W. Pearson
General-purpose preconditioning for regularized interior point methods. Comput. Optim. Appl. 83 (3) (2022)
Spyridon Pougkakiotis, Jacek Gondzio
An interior point-proximal method of multipliers for convex quadratic programming. Comput. Optim. Appl. 78 (2) (2021)
Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola
Sparse Approximations with Interior Point Methods. CoRR (2021)
Jacek Gondzio, Spyridon Pougkakiotis, John W. Pearson
General-purpose preconditioning for regularized interior point methods. CoRR (2021)
Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis
A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming. Numer. Linear Algebra Appl. 28 (4) (2021)
Spyridon Pougkakiotis, John W. Pearson, Santolo Leveque, Jacek Gondzio
Fast Solution Methods for Convex Quadratic Optimization of Fractional Differential Equations. SIAM J. Matrix Anal. Appl. 41 (3) (2020)
Spyridon Pougkakiotis, Jacek Gondzio
Dynamic Non-diagonal Regularization in Interior Point Methods for Linear and Convex Quadratic Programming. J. Optim. Theory Appl. 181 (3) (2019)
Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis
A New Preconditioning Approach for an Interior Point-Proximal Method of Multipliers for Linear and Convex Quadratic Programming. CoRR (2019)
Pantelis Bouboulis, Spyridon Pougkakiotis, Sergios Theodoridis
Efficient KLMS and KRLS algorithms: A random fourier feature perspective. SSP (2016)
Pantelis Bouboulis, Spyridon Pougkakiotis, Sergios Theodoridis
Efficient KLMS and KRLS Algorithms: A Random Fourier Feature Perspective. CoRR (2016)