| The role of optimization in some recent advances in data-driven decision-making L Baardman, R Cristian, G Perakis, D Singhvi, O Skali Lami, ... Mathematical Programming 200 (1), 1-35, 2023 | 17 | 2023 |
| End-to-end learning for optimization via constraint-enforcing approximators R Cristian, P Harsha, G Perakis, BL Quanz, I Spantidakis Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7253-7260, 2023 | 9 | 2023 |
| End-to-end learning via constraint-enforcing approximators for linear programs with applications to supply chains R Cristian, P Harsha, G Perakis, BL Quanz, I Spantidakis AI for Decision Optimization Workshop of the AAAI Conference on Artificial …, 2022 | 7 | 2022 |
| Inter-series transformer: Attending to products in time series forecasting R Cristian, P Harsha, C Ocejo, G Perakis, B Quanz, I Spantidakis, ... arXiv preprint arXiv:2408.03872, 2024 | 1 | 2024 |
| CoRe: Coherency Regularization for Hierarchical Time Series R Cristian, P Harhsa, G Perakis, B Quanz arXiv preprint arXiv:2502.15983, 2025 | | 2025 |
| A Discretization Framework for Robust Contextual Stochastic Optimization RC Cristian, G Perakis The Twelfth International Conference on Learning Representations, 2024 | | 2024 |
| End-to-End Learning under Endogenous Uncertainty RC Cristian, P Harsha, G Perakis, B Quanz | | |
| Deterministic Volume Approximation R Cristian, S Vempala | | |
