Search Results - "Pougkakiotis, Spyridon"

An interior point-proximal method of multipliers for convex quadratic programming by Pougkakiotis, Spyridon, Gondzio, Jacek

“…In this paper we combine an infeasible Interior Point Method (IPM) with the Proximal Method of Multipliers (PMM). The resulting algorithm (IP-PMM) is…”
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An Interior Point-Proximal Method of Multipliers for Linear Positive Semi-Definite Programming by Pougkakiotis, Spyridon, Gondzio, Jacek

“…In this paper we generalize the Interior Point-Proximal Method of Multipliers (IP-PMM) presented in Pougkakiotis and Gondzio (Comput Optim Appl 78:307–351,…”
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Dynamic Non-diagonal Regularization in Interior Point Methods for Linear and Convex Quadratic Programming by Pougkakiotis, Spyridon, Gondzio, Jacek

“…In this paper, we present a dynamic non-diagonal regularization for interior point methods. The non-diagonal aspect of this regularization is implicit, since…”
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Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design by Hashmi, Hassaan, Pougkakiotis, Spyridon, Kalogerias, Dionysis

“…Electronically tunable metasurfaces, or Intelligent Reflecting Surfaces (IRSs), are a popular technology for achieving high spectral efficiency in modern…”
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General-purpose preconditioning for regularized interior point methods by Gondzio, Jacek, Pougkakiotis, Spyridon, Pearson, John W.

“…In this paper we present general-purpose preconditioners for regularized augmented systems, and their corresponding normal equations, arising from optimization…”
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A new preconditioning approach for an interior point‐proximal method of multipliers for linear and convex quadratic programming by Bergamaschi, Luca, Gondzio, Jacek, Martínez, Ángeles, Pearson, John W., Pougkakiotis, Spyridon

“…In this article, we address the efficient numerical solution of linear and quadratic programming problems, often of large scale. With this aim, we devise an…”
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Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization by Hashmi, Hassaan, Pougkakiotis, Spyridon, Kalogerias, Dionysios S.

“…Although Intelligent Reflective Surfaces (IRSs) are a cost-effective technology promising high spectral efficiency in future wireless networks, obtaining…”
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Strong Duality Relations in Nonconvex Risk-Constrained Learning by Kalogerias, Dionysis, Pougkakiotis, Spyridon

“…We establish strong duality relations for functional two-step compositional risk-constrained learning problems with multiple nonconvex loss functions and/or…”
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Strong Duality Relations in Nonconvex Risk-Constrained Learning by Kalogerias, Dionysis, Pougkakiotis, Spyridon

“…We establish strong duality relations for functional two-step compositional risk-constrained learning problems with multiple nonconvex loss functions and/or…”
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Strong Duality in Risk-Constrained Nonconvex Functional Programming by Kalogerias, Dionysis, Pougkakiotis, Spyridon

“…We show that risk-constrained functional optimization problems with general integrable nonconvex instantaneous reward/constraint functions exhibit strong…”
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Data-Driven Learning of Two-Stage Beamformers in Passive IRS-Assisted Systems with Inexact Oracles by Pougkakiotis, Spyridon, Hashmi, Hassaan, Kalogerias, Dionysis

“…We develop an efficient data-driven and model-free unsupervised learning algorithm for achieving fully passive intelligent reflective surface (IRS)-assisted…”
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An efficient active-set method with applications to sparse approximations and risk minimization by Pougkakiotis, Spyridon, Gondzio, Jacek, Kalogerias, Dionysis

“…In this paper we present an efficient active-set method for the solution of convex quadratic programming problems with general piecewise-linear terms in the…”
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An Interior Point-Proximal Method of Multipliers for Positive Semi-Definite Programming by Pougkakiotis, Spyridon, Gondzio, Jacek

“…In this paper we generalize the Interior Point-Proximal Method of Multipliers (IP-PMM) presented in [An Interior Point-Proximal Method of Multipliers for…”
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A Zeroth-order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization by Pougkakiotis, Spyridon, Kalogerias, Dionysios S

“…In this paper we analyze a zeroth-order proximal stochastic gradient method suitable for the minimization of weakly convex stochastic optimization problems. We…”
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An Interior Point-Proximal Method of Multipliers for Convex Quadratic Programming by Pougkakiotis, Spyridon, Gondzio, Jacek

“…In this paper we combine an infeasible Interior Point Method (IPM) with the Proximal Method of Multipliers (PMM). The resulting algorithm (IP-PMM) is…”
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Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design by Hashmi, Hassaan, Pougkakiotis, Spyridon, Kalogerias, Dionysios S

“…Electronically tunable metasurfaces, or Intelligent Reflective Surfaces (IRSs), are a popular technology for achieving high spectral efficiency in modern…”
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An active-set method for sparse approximations. Part II: General piecewise-linear terms by Pougkakiotis, Spyridon, Gondzio, Jacek, Kalogerias, Dionysios S

“…In this paper we present an efficient active-set method for the solution of convex quadratic programming problems with general piecewise-linear terms in the…”
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Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization by Hashmi, Hassaan, Pougkakiotis, Spyridon, Kalogerias, Dionysios S

“…Although Intelligent Reflective Surfaces (IRSs) are a cost-effective technology promising high spectral efficiency in future wireless networks, obtaining…”
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Dynamic Non-Diagonal Regularization in Interior Point Methods for Linear and Convex Quadratic Programming by Pougkakiotis, Spyridon, Gondzio, Jacek

“…In this paper, we present a dynamic non-diagonal regularization for interior point methods. The non-diagonal aspect of this regularization is implicit, since…”
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An active-set method for sparse approximations. Part I: Separable $\ell_1$ terms by Pougkakiotis, Spyridon, Gondzio, Jacek, Kalogerias, Dionysios S

“…In this paper we present an active-set method for the solution of $\ell_1$-regularized convex quadratic optimization problems. It is derived by combining a…”
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