Items where Author is "Pauphilet, J"

Article

Bertsimas, Dimitris, Delarue, Arthur and Pauphilet, J (2025) Adaptive optimization for prediction with missing data. Machine Learning, 114 (5). ISSN 0885-6125

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, 54 (6). pp. 553-574. ISSN 2644-0865

den Hertog, D, Pauphilet, J, Pham, Y, Sainte-Rose, B and Song, B (2024) Optimizing the Path Towards Plastic-Free Oceans. Operations Research. ISSN 0030-364X (In Press)

Bertsimas, D, Cory-Wright, R, Pauphilet, J and Petridis, P (2024) A Stochastic Benders Decomposition Scheme for Large-Scale Stochastic Network Design. INFORMS Journal on Computing. ISSN 1091-9856 (In Press)

den Hertog, D, Pauphilet, J and Soali, M Y (2024) Minkowski Centers via Robust Optimization: Computation and Applications. Operations Research, 72 (5). pp. 2135-2152. ISSN 0030-364X

Bertsimas, D and Pauphilet, J (2024) Hospital-Wide Inpatient Flow Optimization. Management Science, 70 (7). pp. 4893-4911. ISSN 0025-1909

Grand-Clement, J and Pauphilet, J (2024) The best decisions are not the best advice: making adherence-aware recommendations. Management Science. ISSN 0025-1909 (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)

Jain, S, Jonasson, J O, Pauphilet, J and Ramdas, K (2024) Robust combination testing: methods and application to COVID-19 detection. Management Science, 70 (4). pp. 2661-2681. ISSN 0025-1909

Pauphilet, J (2024) Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items. Manufacturing and Service Operations Management, 26 (1). pp. 11-27. ISSN 1523-4614

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, Dimitris, Pauphilet, J and Van Parys, B (2021) Sparse Classification: A Scalable Discrete Optimization Perspective. Machine Learning, 110. pp. 3177-3209. ISSN 0885-6125

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, Dimitris, Boussioux, Leonard, Cory Wright, Ryan, Delarue, Arthur, Digalakis, Vassilis, Jacquillat, Alexandre, Lahlou Kitane, Driss, Lukin, Galit, Li, Michael L, Mingardi, Luca, Nohadani, Omid, Orfanoudaki, Agni, Papalexopoulos, Theodore, Paskov, Ivan, Pauphilet, J, Skali Lami, Omar, Stellato, Bartolomeo, Tazi Bouardi, Hamza, Villalobos Carballo, Kimberly, Wiberg, Holly and Zeng, Cynthia (2021) From predictions to prescriptions: A data-driven response to COVID-19. Health Care Management Science, 24. pp. 253-272. ISSN 1386-9620

Bertsimas, J, Cory-Wright, R and Pauphilet, J (2021) A unified approach to mixed-integer optimization with logical constraints. SIAM Journal on Optimization, 31 (3). pp. 2340-2367. ISSN 1052-6234

Gao, H, Pauphilet, J, Struble, T, Coley, C and Jensen, K F (2021) Direct optimization across computer generated reaction networks balances materials use and feasibility of synthesis plans for molecule libraries. Journal of Chemical Information and Modeling, 61 (1). pp. 493-504. ISSN 1549-9596

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