Spyridon Pougkakiotis

26 papers Misc 2Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Efficient Active-Set method With Applications to Sparse Approximations and Risk Minimization. J. Sci. Comput. Spyridon Pougkakiotis, Jacek Gondzio, Dionysis Kalogerias
2025	J	`jnl`	Data-Driven Learning of Two-Stage Beamformers in Passive IRS-Assisted Systems With Inexact Oracles. IEEE Access Spyridon Pougkakiotis, Hassaan Hashmi, Dionysis Kalogerias
2025	J	`jnl`	Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents. CoRR Jane H. Lee, Baturay Saglam, Spyridon Pougkakiotis, Amin Karbasi, Dionysis Kalogerias
2025	J	`jnl`	Ultra-Reliable Risk-Aggregated Sum Rate Maximization via Model-Aided Deep Learning. CoRR Hassaan Hashmi, Spyridon Pougkakiotis, Dionysis Kalogerias
2024	J	`jnl`	An efficient active-set method with applications to sparse approximations and risk minimization. CoRR Spyridon Pougkakiotis, Jacek Gondzio, Dionysis Kalogerias
2024	J	`jnl`	Data-Driven Learning of Two-Stage Beamformers in Passive IRS-Assisted Systems with Inexact Oracles. CoRR Spyridon Pougkakiotis, Hassaan Hashmi, Dionysis Kalogerias
2024	J	`jnl`	Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design. IEEE Trans. Signal Process. Hassaan Hashmi, Spyridon Pougkakiotis, Dionysis Kalogerias
2024	Misc	`conf`	Strong Duality Relations in Nonconvex Risk-Constrained Learning. CISS Dionysis Kalogerias, Spyridon Pougkakiotis
2023	J	`jnl`	A Zeroth-Order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization. SIAM J. Sci. Comput. Spyridon Pougkakiotis, Dionysis Kalogerias
2023	Misc	`conf`	Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization. ICASSP Hassaan Hashmi, Spyridon Pougkakiotis, Dionysios S. Kalogerias
2023	J	`jnl`	Model-Free Learning of Optimal Two-Stage Beamformers for Passive IRS-Aided Network Design. CoRR Hassaan Hashmi, Spyridon Pougkakiotis, Dionysios S. Kalogerias
2023	J	`jnl`	Strong Duality Relations in Nonconvex Risk-Constrained Learning. CoRR Dionysis Kalogerias, Spyridon Pougkakiotis
2022	J	`jnl`	A semismooth Newton-proximal method of multipliers for 𝓁 CoRR Spyridon Pougkakiotis, Jacek Gondzio
2022	J	`jnl`	An Interior Point-Proximal Method of Multipliers for Linear Positive Semi-Definite Programming. J. Optim. Theory Appl. Spyridon Pougkakiotis, Jacek Gondzio
2022	J	`jnl`	General-purpose preconditioning for regularized interior point methods. Comput. Optim. Appl. Jacek Gondzio, Spyridon Pougkakiotis, John W. Pearson
2022	J	`jnl`	Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization. CoRR Hassaan Hashmi, Spyridon Pougkakiotis, Dionysios S. Kalogerias
2022	J	`jnl`	Sparse Approximations with Interior Point Methods. SIAM Rev. Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola
2021	J	`jnl`	A new preconditioning approach for an interior point-proximal method of multipliers for linear and convex quadratic programming. Numer. Linear Algebra Appl. Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis
2021	J	`jnl`	An interior point-proximal method of multipliers for convex quadratic programming. Comput. Optim. Appl. Spyridon Pougkakiotis, Jacek Gondzio
2021	J	`jnl`	General-purpose preconditioning for regularized interior point methods. CoRR Jacek Gondzio, Spyridon Pougkakiotis, John W. Pearson
2021	J	`jnl`	Sparse Approximations with Interior Point Methods. CoRR Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola
2020	J	`jnl`	Fast Solution Methods for Convex Quadratic Optimization of Fractional Differential Equations. SIAM J. Matrix Anal. Appl. Spyridon Pougkakiotis, John W. Pearson, Santolo Leveque, Jacek Gondzio
2019	J	`jnl`	A New Preconditioning Approach for an Interior Point-Proximal Method of Multipliers for Linear and Convex Quadratic Programming. CoRR Luca Bergamaschi, Jacek Gondzio, Ángeles Martínez, John W. Pearson, Spyridon Pougkakiotis
2019	J	`jnl`	Dynamic Non-diagonal Regularization in Interior Point Methods for Linear and Convex Quadratic Programming. J. Optim. Theory Appl. Spyridon Pougkakiotis, Jacek Gondzio
2016	J	`jnl`	Efficient KLMS and KRLS Algorithms: A Random Fourier Feature Perspective. CoRR Pantelis Bouboulis, Spyridon Pougkakiotis, Sergios Theodoridis
2016	—	`conf`	Efficient KLMS and KRLS algorithms: A random fourier feature perspective. SSP Pantelis Bouboulis, Spyridon Pougkakiotis, Sergios Theodoridis