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Jean Pauphilet
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Journal Articles
- 2024
- [j16]Dick den Hertog, Jean Pauphilet, Mohamed Yahya Soali:
Minkowski Centers via Robust Optimization: Computation and Applications. Oper. Res. 72(5): 2135-2152 (2024) - [j15]Sanjay Jain, Jónas Oddur Jónasson, Jean Pauphilet, Kamalini Ramdas:
Robust Combination Testing: Methods and Application to COVID-19 Detection. Manag. Sci. 70(4): 2661-2681 (2024) - [j14]Dimitris Bertsimas, Jean Pauphilet:
Hospital-Wide Inpatient Flow Optimization. Manag. Sci. 70(7): 4893-4911 (2024) - [j13]Jean Pauphilet:
Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items. Manuf. Serv. Oper. Manag. 26(1): 11-27 (2024) - [j12]Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet:
Simple Imputation Rules for Prediction with Missing Data: Theoretical Guarantees vs. Empirical Performance. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j11]Dimitris Bertsimas, Dick den Hertog, Jean Pauphilet, Jianzhe Zhen:
Robust convex optimization: A new perspective that unifies and extends. Math. Program. 200(2): 877-918 (2023) - [j10]Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet:
A new perspective on low-rank optimization. Math. Program. 202(1): 47-92 (2023) - [j9]Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet:
Publisher Correction to: A new perspective on low-rank optimization. Math. Program. 202(1): 93-94 (2023) - 2022
- [j8]Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet:
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints. Oper. Res. 70(6): 3321-3344 (2022) - [j7]Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet:
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality. J. Mach. Learn. Res. 23: 13:1-13:35 (2022) - [j6]Dimitris Bertsimas, Jean Pauphilet, Jennifer P. Stevens, Manu Tandon:
Predicting Inpatient Flow at a Major Hospital Using Interpretable Analytics. Manuf. Serv. Oper. Manag. 24(6): 2809-2824 (2022) - 2021
- [j5]Hanyu Gao, Jean Pauphilet, Thomas J. Struble, Connor W. Coley, Klavs F. Jensen:
Direct Optimization across Computer-Generated Reaction Networks Balances Materials Use and Feasibility of Synthesis Plans for Molecule Libraries. J. Chem. Inf. Model. 61(1): 493-504 (2021) - [j4]Dimitris Bertsimas, Jean Pauphilet, Bart P. G. Van Parys:
Sparse classification: a scalable discrete optimization perspective. Mach. Learn. 110(11): 3177-3209 (2021) - [j3]Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet:
A Unified Approach to Mixed-Integer Optimization Problems With Logical Constraints. SIAM J. Optim. 31(3): 2340-2367 (2021) - [j2]Dimitris Bertsimas, Dick den Hertog, Jean Pauphilet:
Probabilistic Guarantees in Robust Optimization. SIAM J. Optim. 31(4): 2893-2920 (2021) - 2020
- [j1]Dimitris Bertsimas, Jourdain B. Lamperski, Jean Pauphilet:
Certifiably optimal sparse inverse covariance estimation. Math. Program. 184(1): 491-530 (2020)
Conference and Workshop Papers
- 2016
- [c1]Jean Pauphilet, Diego Kiner, Damien Faille, Laurent El Ghaoui:
A tractable numerical strategy for robust MILP and application to energy management. CDC 2016: 1490-1495
Informal and Other Publications
- 2024
- [i11]Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet:
Adaptive Optimization for Prediction with Missing Data. CoRR abs/2402.01543 (2024) - 2023
- [i10]Dimitris Bertsimas, Ryan Cory-Wright, Sean Lo, Jean Pauphilet:
Optimal Low-Rank Matrix Completion: Semidefinite Relaxations and Eigenvector Disjunctions. CoRR abs/2305.12292 (2023) - [i9]Liangyuan Na, Kimberly Villalobos Carballo, Jean Pauphilet, Ali Haddad-Sisakht, Daniel Kombert, Melissa Boisjoli-Langlois, Andrew Castiglione, Maram Khalifa, Pooja Hebbal, Barry Stein, Dimitris Bertsimas:
Patient Outcome Predictions Improve Operations at a Large Hospital Network. CoRR abs/2305.15629 (2023) - 2022
- [i8]Julien Grand-Clément, Jean Pauphilet:
The Best Decisions Are Not the Best Advice: Making Adherence-Aware Recommendations. CoRR abs/2209.01874 (2022) - [i7]Ryan Cory-Wright, Jean Pauphilet:
Sparse PCA With Multiple Components. CoRR abs/2209.14790 (2022) - 2021
- [i6]Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet:
Prediction with Missing Data. CoRR abs/2104.03158 (2021) - [i5]Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet:
A new perspective on low-rank optimization. CoRR abs/2105.05947 (2021) - 2020
- [i4]Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet:
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality. CoRR abs/2005.05195 (2020) - [i3]Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet:
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints. CoRR abs/2009.10395 (2020) - 2019
- [i2]Dimitris Bertsimas, Jourdain B. Lamperski, Jean Pauphilet:
Certifiably Optimal Sparse Inverse Covariance Estimation. CoRR abs/1906.10283 (2019) - [i1]Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet:
A unified approach to mixed-integer optimization: Nonlinear formulations and scalable algorithms. CoRR abs/1907.02109 (2019)
Coauthor Index
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