Spyridon Pougkakiotis

Mathematics · Physical Sciences

7h-index113citations30works0.02yr avg
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Research Topics

Advanced Optimization Algorithms Research(13), Sparse and Compressive Sensing Techniques(8), Matrix Theory and Algorithms(8), Optimization and Variational Analysis(6), Risk and Portfolio Optimization(5)

Publications30 total

Inexact zeroth-order nonsmooth and nonconvex stochastic composite optimization and applications
Journal of Nonlinear and Variational Analysis·2026Open Access
Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents
arXiv (Cornell University)·2025Open Access
Data-Driven Two-Stage IRS-Aided Sumrate Maximization with Inexact Precoding
arXiv (Cornell University)·2025Open Access
An Efficient Active-Set method With Applications to Sparse Approximations and Risk Minimization
Journal of Scientific Computing·2025Open Access
Data-Driven Learning of Two-Stage Beamformers in Passive IRS-Assisted Systems With Inexact Oracles
IEEE Access·2025Open Access
Data-Driven Learning of Two-Stage Beamformers in Passive IRS-Assisted Systems with Inexact Oracles
arXiv (Cornell University)·2024Open Access
An efficient active-set method with applications to sparse approximations and risk minimization
2024Open Access
Strong Duality Relations in Nonconvex Risk-Constrained Learning
2024
Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design
IEEE Transactions on Signal Processing·2023· 2 citedOpen Access
Strong Duality Relations in Nonconvex Risk-Constrained Learning
arXiv (Cornell University)·2023Open Access
A Zeroth-Order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization
SIAM Journal on Scientific Computing·2023· 8 citedOpen Access
Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization
2023· 3 citedOpen Access
Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design
Discovery Research Portal (University of Dundee)·2023Open Access
An active-set method for sparse approximations. Part II: General piecewise-linear terms
arXiv (Cornell University)·2023Open Access
General-purpose preconditioning for regularized interior point methods
Computational Optimization and Applications·2022· 8 citedOpen Access
Sparse Approximations with Interior Point Methods
SIAM Review·2022· 17 citedOpen Access
Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization
arXiv (Cornell University)·2022Open Access
Strong Duality in Risk-Constrained Nonconvex Functional Programming
arXiv (Cornell University)·2022· 1 citedOpen Access
A Zeroth-order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization
arXiv (Cornell University)·2022Open Access
An active-set method for sparse approximations. Part I: Separable $\ell_1$ terms
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

Dionysios S. Kalogerias(16), Jacek Gondzio(15), H. N. Hashmi(7), John W. Pearson(5), Daniela di Serafino(2), Santolo Leveque(2), Luca Bergamaschi(1), Ángeles Martínez(1), Valentina De Simone(1), Marco Viola(1), Pantelis Bouboulis(1), Sergios Theodoridis(1), Valentina De Simone(1), Marco Viola(1), Dionysis Kalogerias(1), Jane H. Lee(1), Baturay Sağlam(1), Amin Karbasi(1)