| Primal and dual linear decision rules in stochastic and robust optimization D Kuhn, W Wiesemann, A Georghiou Mathematical Programming 130, 177-209, 2011 | 339 | 2011 |
| Generalized decision rule approximations for stochastic programming via liftings A Georghiou, W Wiesemann, D Kuhn Mathematical Programming 152, 301-338, 2015 | 195 | 2015 |
| Design of near optimal decision rules in multistage adaptive mixed-integer optimization D Bertsimas, A Georghiou Operations Research 63 (3), 610-627, 2015 | 154 | 2015 |
| Robust optimal control with adjustable uncertainty sets X Zhang, M Kamgarpour, A Georghiou, P Goulart, J Lygeros Automatica 75, 249-259, 2017 | 136 | 2017 |
| Binary decision rules for multistage adaptive mixed-integer optimization D Bertsimas, A Georghiou Mathematical Programming 167, 395-433, 2018 | 108 | 2018 |
| Robust dual dynamic programming A Georghiou, A Tsoukalas, W Wiesemann Operations Research 67 (3), 813-830, 2019 | 102 | 2019 |
| The decision rule approach to optimization under uncertainty: methodology and applications A Georghiou, D Kuhn, W Wiesemann Computational Management Science 16 (4), 545-576, 2019 | 63 | 2019 |
| The power of diversity: Data-driven robust predictive control for energy-efficient buildings and districts G Darivianakis, A Georghiou, RS Smith, J Lygeros IEEE Transactions on Control Systems Technology 27 (1), 132-145, 2017 | 62 | 2017 |
| A stochastic optimization approach to cooperative building energy management via an energy hub G Darivianakis, A Georghiou, RS Smith, J Lygeros 2015 54th IEEE conference on decision and control (CDC), 7814-7819, 2015 | 45 | 2015 |
| Balancing bike sharing systems through customer cooperation-a case study on London's Barclays Cycle Hire P Aeschbach, X Zhang, A Georghiou, J Lygeros 2015 54th IEEE Conference on Decision and Control (CDC), 4722-4727, 2015 | 42 | 2015 |
| Racing miniature cars: Enhancing performance using stochastic MPC and disturbance feedback A Liniger, X Zhang, P Aeschbach, A Georghiou, J Lygeros 2017 American Control Conference (ACC), 5642-5647, 2017 | 34 | 2017 |
| A primal–dual lifting scheme for two-stage robust optimization A Georghiou, A Tsoukalas, W Wiesemann Operations Research 68 (2), 572-590, 2020 | 33 | 2020 |
| Performance guarantees for model-based approximate dynamic programming in continuous spaces PN Beuchat, A Georghiou, J Lygeros IEEE Transactions on Automatic Control 65 (1), 143-158, 2019 | 30* | 2019 |
| Robust optimization with decision-dependent information discovery P Vayanos, A Georghiou, H Yu arXiv preprint arXiv:2004.08490, 2020 | 27 | 2020 |
| The decision rule approach to optimisation under uncertainty: Methodology and applications in operations management A Georghiou, W Wiesemann, D Kuhn Available on Optimization Online, submitted for publication, 2011 | 22 | 2011 |
| The REPOP toolbox: Tackling polynomial optimization using relative entropy relaxations O Karaca, G Darivianakis, P Beuchat, A Georghiou, J Lygeros IFAC-PapersOnLine 50 (1), 11652-11657, 2017 | 21 | 2017 |
| Convex approximation of chance-constrained MPC through piecewise affine policies using randomized and robust optimization X Zhang, A Georghiou, J Lygeros 2015 54th IEEE conference on decision and control (CDC), 3038-3043, 2015 | 20 | 2015 |
| Community treatment order outcomes in Quebec: A unique jurisdiction D Frank, E Fan, A Georghiou, V Verter The Canadian Journal of Psychiatry 65 (7), 484-491, 2020 | 18 | 2020 |
| On the optimality of affine decision rules in robust and distributionally robust optimization A Georghiou, A Tsoukalas, W Wiesemann Available at Optimization Online, 2021 | 16 | 2021 |
| Distributionally robust parametric maximum likelihood estimation VA Nguyen, X Zhang, J Blanchet, A Georghiou Advances in Neural Information Processing Systems 33, 7922-7932, 2020 | 14 | 2020 |
