| 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 | 9* | 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 |
| 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 |
| Strong Duality in Risk-Constrained Nonconvex Functional Programming D Kalogerias, S Pougkakiotis | 1 | 2023 |
| 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 terms 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 UniversityVerified email at ed.ac.uk
