| From predictions to prescriptions: A data-driven response to COVID-19 D Bertsimas, L Boussioux, R Cory-Wright, A Delarue, V Digalakis, ... Health Care Management Science, 1-20, 2021 | 102 | 2021 |
| Sparse regression: Scalable algorithms and empirical performance D Bertsimas, J Pauphilet, B Van Parys Statistical Science 35 (4), 555-578, 2020 | 96 | 2020 |
| Predicting inpatient flow at a major hospital using interpretable analytics D Bertsimas, J Pauphilet, J Stevens, M Tandon Manufacturing & Service Operations Management 24 (6), 2809-2824., 2022 | 76 | 2022 |
| A unified approach to mixed-integer optimization problems with logical constraints D Bertsimas, R Cory-Wright, J Pauphilet SIAM Journal on Optimization 31 (3), 2340-2367, 2021 | 60* | 2021 |
| Sparse classification: a scalable discrete optimization perspective D Bertsimas, J Pauphilet, B Van Parys Machine Learning 110, 3177-3209, 2021 | 55* | 2021 |
| Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality. D Bertsimas, R Cory-Wright, J Pauphilet Journal of Machine Learning Research 23, 13:1-13:35, 2022 | 52 | 2022 |
| Mixed-projection conic optimization: A new paradigm for modeling rank constraints D Bertsimas, R Cory-Wright, J Pauphilet Operations Research 70 (6), 3321-3344, 2022 | 29 | 2022 |
| Probabilistic guarantees in Robust Optimization D Bertsimas, D den Hertog, J Pauphilet SIAM Journal on Optimization, 2021 | 24 | 2021 |
| Certifiably optimal sparse inverse covariance estimation D Bertsimas, J Lamperski, J Pauphilet Mathematical Programming, 2019 | 18 | 2019 |
| Adaptive Optimization for Prediction with Missing Data D Bertsimas, A Delarue, J Pauphilet arXiv preprint arXiv:2402.01543, 2024 | 17* | 2024 |
| Robust Convex Optimization: A New Perspective That Unifies And Extends D Bertsimas, D den Hertog, J Pauphilet, J Zhen Mathematical Programming, 2022 | 17 | 2022 |
| A new perspective on low-rank optimization D Bertsimas, R Cory-Wright, J Pauphilet Mathematical Programming 202 (1), 47-92, 2023 | 15 | 2023 |
| The best decisions are not the best advice: Making adherence-aware recommendations J Grand-Clément, J Pauphilet Management Science, 2024 | 11 | 2024 |
| Robust combination testing: Methods and application to COVID-19 detection S Jain, JO Jónasson, J Pauphilet, K Ramdas Management Science 70 (4), 2661-2681, 2024 | 9 | 2024 |
| Hospital-wide Inpatient Flow Optimization D Bertsimas, J Pauphilet Management Science, 2023 | 8 | 2023 |
| Optimal Low-Rank Matrix Completion: Semidefinite Relaxations and Eigenvector Disjunctions D Bertsimas, R Cory-Wright, S Lo, J Pauphilet arXiv preprint arXiv:2305.12292, 2023 | 7 | 2023 |
| Direct Optimization across Computer-Generated Reaction Networks Balances Materials Use and Feasibility of Synthesis Plans for Molecule Libraries H Gao, J Pauphilet, TJ Struble, CW Coley, KF Jensen Journal of Chemical Information and Modeling 61 (1), 493-504, 2020 | 7 | 2020 |
| Rejoinder: Sparse Regression: Scalable Algorithms and Empirical Performance D Bertsimas, J Pauphilet, B Van Parys Statistical Science 35 (4), 623-624, 2020 | 5 | 2020 |
| Robust Planning for Combined Heat and Power Production D Faille, M Fouquet, B Péchiné, S Ahallal, L El Ghaoui, J Pauphilet IFAC-PapersOnLine 48 (30), 391-396, 2015 | 5 | 2015 |
| Patient Outcome Predictions Improve Operations at a Large Hospital Network L Na, KV Carballo, J Pauphilet, A Haddad-Sisakht, D Kombert, ... arXiv preprint arXiv:2305.15629, 2023 | 4 | 2023 |
Dimitris BertsimasBoeing Professor of Operations Research, MITVerified email at mit.edu
