Items where Author is "Pauphilet, J"

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Number of items: 9.

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 OPEN ACCESS

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, Dimitris, Pauphilet, J and Bart Van Parys (2021) Sparse Classification: A Scalable Discrete Optimization Perspective. Machine Learning. ISSN 0885-6125 (Accepted)

Pauphilet, J, Bertsimas, D and Cory-Wright, R (2021) Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints. Operations Research. ISSN 0030-364X (Accepted)

Bertsimas, D, Pauphilet, J, Stevens, J and Tandon, M (2021) Predicting inpatient flow at a major hospital using interpretable analytics. Manufacturing and Service Operations Management. ISSN 1523-4614 (In Press) OPEN ACCESS

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

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

This list was generated on Mon Dec 6 01:10:27 2021 GMT.