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Spyridon Pougkakiotis
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2020 – today
- 2024
- [j9]Hassaan Hashmi
, Spyridon Pougkakiotis
, Dionysis Kalogerias
:
Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design. IEEE Trans. Signal Process. 72: 652-669 (2024) - [c3]Dionysis Kalogerias
, Spyridon Pougkakiotis:
Strong Duality Relations in Nonconvex Risk-Constrained Learning. CISS 2024: 1-6 - [i9]Spyridon Pougkakiotis, Jacek Gondzio, Dionysis Kalogerias:
An efficient active-set method with applications to sparse approximations and risk minimization. CoRR abs/2405.04172 (2024) - 2023
- [j8]Spyridon Pougkakiotis
, Dionysis Kalogerias
:
A Zeroth-Order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization. SIAM J. Sci. Comput. 45(5): 2679- (2023) - [c2]Hassaan Hashmi
, Spyridon Pougkakiotis
, Dionysios S. Kalogerias
:
Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization. ICASSP 2023: 1-5 - [i8]Hassaan Hashmi
, Spyridon Pougkakiotis
, Dionysios S. Kalogerias:
Model-Free Learning of Optimal Two-Stage Beamformers for Passive IRS-Aided Network Design. CoRR abs/2304.11464 (2023) - [i7]Dionysis Kalogerias
, Spyridon Pougkakiotis:
Strong Duality Relations in Nonconvex Risk-Constrained Learning. CoRR abs/2312.01110 (2023) - 2022
- [j7]Jacek Gondzio
, Spyridon Pougkakiotis
, John W. Pearson
:
General-purpose preconditioning for regularized interior point methods. Comput. Optim. Appl. 83(3): 727-757 (2022) - [j6]Spyridon Pougkakiotis
, Jacek Gondzio
:
An Interior Point-Proximal Method of Multipliers for Linear Positive Semi-Definite Programming. J. Optim. Theory Appl. 192(1): 97-129 (2022) - [j5]Valentina De Simone, Daniela di Serafino
, Jacek Gondzio
, Spyridon Pougkakiotis
, Marco Viola
:
Sparse Approximations with Interior Point Methods. SIAM Rev. 64(4): 954-988 (2022) - [i6]Spyridon Pougkakiotis, Jacek Gondzio:
A semismooth Newton-proximal method of multipliers for 𝓁1-regularized convex quadratic programming. CoRR abs/2201.10211 (2022) - [i5]Hassaan Hashmi
, Spyridon Pougkakiotis
, Dionysios S. Kalogerias:
Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization. CoRR abs/2210.16712 (2022) - 2021
- [j4]Spyridon Pougkakiotis
, Jacek Gondzio
:
An interior point-proximal method of multipliers for convex quadratic programming. Comput. Optim. Appl. 78(2): 307-351 (2021) - [j3]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) - [i4]Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola:
Sparse Approximations with Interior Point Methods. CoRR abs/2102.13608 (2021) - [i3]Jacek Gondzio, Spyridon Pougkakiotis, John W. Pearson:
General-purpose preconditioning for regularized interior point methods. CoRR abs/2107.06822 (2021) - 2020
- [j2]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): 1443-1476 (2020)
2010 – 2019
- 2019
- [j1]Spyridon Pougkakiotis
, Jacek Gondzio
:
Dynamic Non-diagonal Regularization in Interior Point Methods for Linear and Convex Quadratic Programming. J. Optim. Theory Appl. 181(3): 905-945 (2019) - [i2]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 abs/1912.10064 (2019) - 2016
- [c1]Pantelis Bouboulis, Spyridon Pougkakiotis
, Sergios Theodoridis:
Efficient KLMS and KRLS algorithms: A random fourier feature perspective. SSP 2016: 1-5 - [i1]Pantelis Bouboulis, Spyridon Pougkakiotis, Sergios Theodoridis:
Efficient KLMS and KRLS Algorithms: A Random Fourier Feature Perspective. CoRR abs/1606.03685 (2016)
Coauthor Index
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last updated on 2024-06-25 21:49 CEST by the dblp team
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