Efficient KLMS and KRLS algorithms: A random Fourier feature perspective P Bouboulis, S Pougkakiotis, S Theodoridis
2016 IEEE Statistical Signal Processing Workshop (SSP), 1-5, 2016
40 2016 An interior point-proximal method of multipliers for convex quadratic programming S Pougkakiotis, J Gondzio
Computational Optimization and Applications 78, 307-351, 2021
37 2021 A new preconditioning approach for an interior point‐proximal method of multipliers for linear and convex quadratic programming L Bergamaschi, J Gondzio, Á Martínez, JW Pearson, S Pougkakiotis
Numerical Linear Algebra with Applications 28 (4), e2361, 2021
25 2021 Sparse approximations with interior point methods V De Simone, D di Serafino, J Gondzio, S Pougkakiotis, M Viola
Siam review 64 (4), 954-988, 2022
23 2022 Dynamic non-diagonal regularization in interior point methods for linear and convex quadratic programming S Pougkakiotis, J Gondzio
Journal of Optimization Theory and Applications 181, 905-945, 2019
17 2019 An interior point-proximal method of multipliers for linear positive semi-definite programming S Pougkakiotis, J Gondzio
Journal of Optimization Theory and Applications, 1-33, 2022
13 * 2022 General-purpose preconditioning for regularized interior point methods J Gondzio, S Pougkakiotis, JW Pearson
Computational Optimization and Applications 83 (3), 727-757, 2022
10 2022 Fast Solution Methods for Convex Quadratic Optimization of Fractional Differential Equations S Pougkakiotis, JW Pearson, S Leveque, J Gondzio
SIAM Journal on Matrix Analysis and Applications 41 (3), 1443-1476, 2020
10 2020 A zeroth-order proximal stochastic gradient method for weakly convex stochastic optimization S Pougkakiotis, D Kalogerias
SIAM Journal on Scientific Computing 45 (5), A2679-A2702, 2023
6 2023 Model-free learning of optimal beamformers for passive IRS-assisted sumrate maximization H Hashmi, S Pougkakiotis, DS Kalogerias
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
3 2023 Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design H Hashmi, S Pougkakiotis, DS Kalogerias
IEEE Transactions on Signal Processing, 2023
2 2023 Strong Duality in Risk-Constrained Nonconvex Functional Programming D Kalogerias, S Pougkakiotis
2 2023 An efficient active-set method with applications to sparse approximations and risk minimization S Pougkakiotis, J Gondzio, D Kalogerias
arXiv preprint arXiv:2405.04172, 2024
1 2024 An active-set method for sparse approximations. Part II: General piecewise-linear terms S Pougkakiotis, J Gondzio, DS Kalogerias
arXiv preprint arXiv:2302.14497, 2023
1 2023 An active-set method for sparse approximations. Part I: Separable S Pougkakiotis, J Gondzio, DS Kalogerias
arXiv preprint arXiv:2201.10211v2, 2023
1 2023 Data-Driven Learning of Two-Stage Beamformers in Passive IRS-Assisted Systems with Inexact Oracles S Pougkakiotis, H Hashmi, D Kalogerias
arXiv preprint arXiv:2410.24154, 2024
2024 Strong Duality Relations in Nonconvex Risk-Constrained Learning D Kalogerias, S Pougkakiotis
2024 58th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2024
2024 Regularized interior point methods for convex programming S Pougkakiotis
The University of Edinburgh, 2022
2022 
Jacek GondzioProfessor of Optimization, School of Mathematics, Edinburgh UniversityПотвърден имейл адрес: ed.ac.uk
