Items where Author is "Bertsimas, D"
Up a levelBertsimas, D and Pauphilet, J (2024) Hospital-Wide Inpatient Flow Optimization. Management Science, 70 (7). pp. 4893-4911. ISSN 0025-1909
Na, L, Pauphilet, J, Haddad-Sisakht, A, Raison, L, Silver, A, Veronneau, P, Vogt, N and Bertsimas, D (2024) Optimization Automates Emergency Department Nurse Scheduling at Hartford Hospital. INFORMS Journal on Applied Analytics. ISSN 2644-0865 (In Press)
Bertsimas, D, Delarue, A and Pauphilet, J (2024) Simple Imputation Rules for Prediction with Missing Data: Theoretical Guarantees vs. Empirical Performance. Transactions on Machine Learning Research. ISSN 2835-8856 (In Press)
Bertsimas, D, den Hertog, D, Pauphilet, J and Zhen, J (2023) Robust convex optimization: A new perspective that unifies and extends. Mathematical Programming, 200 (2). pp. 877-918. ISSN 0025-5610
Bertsimas, D, Cory-Wright, R and Pauphilet, J (2023) A new perspective on low-rank optimization. Mathematical Programming, 202. pp. 47-92. ISSN 0025-5610
Bertsimas, D, Pauphilet, J, Stevens, J and Tandon, M (2022) Predicting inpatient flow at a major hospital using interpretable analytics. Manufacturing and Service Operations Management, 24 (6). pp. 2809-2824. ISSN 1523-4614
Bertsimas, D, Cory-Wright, R and Pauphilet, J (2022) Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality. Journal of Machine Learning Research, 23 (13). pp. 1-35. ISSN 1532-4435
Bertsimas, D, Cory-Wright, R and Pauphilet, J (2021) Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints. Operations Research. ISSN 0030-364X (In Press)
Bertsimas, D, den Heretog, D and Pauphilet, J (2021) Probabilistic Guarantees in Robust Optimization. SIAM Journal on Optimization, 31 (4). pp. 2893-2920. ISSN 1052-6234
Bertsimas, D, Lamperski, J and Pauphilet, J (2020) Certifiably optimal sparse inverse covariance estimation. Mathematical Programming, 184 (1-2). pp. 491-530. ISSN 0025-5610
Bertsimas, D, Pauphilet, J and Van Parys, B (2020) Sparse regression: scalable algorithms and empirical performance. Statistical Science, 35 (4). pp. 555-578. ISSN 0883-4237