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Adam N. Elmachtoub

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affiliation: Columbia University, Department of Industrial Engineering and Operations Research, New York City, NY, USA
affiliation: Cornell University, School of Operations Research and Information Engineering, Ithaca, NY, USA

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2020 – today

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2023
[j13]
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Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas, Ambuj Tewari:
Generalization Bounds in the Predict-Then-Optimize Framework. Math. Oper. Res. 48(4): 2043-2065 (2023)
[j12]
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Ali Aouad, Adam N. Elmachtoub, Kris Johnson Ferreira, Ryan McNellis:
Market Segmentation Trees. Manuf. Serv. Oper. Manag. 25(2): 648-667 (2023)
[c13]
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Adam N. Elmachtoub, Vishal Gupta, Yunfan Zhao:
Balanced Off-Policy Evaluation for Personalized Pricing. AISTATS 2023: 10901-10917
[c12]
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Abdellah Aznag, Rachel Cummings, Adam N. Elmachtoub:
An active learning framework for multi-group mean estimation. NeurIPS 2023
[i10]
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  - journals/corr/abs-2302-11723
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Adam N. Elmachtoub, Jiaqi Shi:
The Power of Static Pricing for Reusable Resources. CoRR abs/2302.11723 (2023)
[i9]
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  - journals/corr/abs-2302-12736
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Adam N. Elmachtoub, Vishal Gupta, Yunfan Zhao:
Balanced Off-Policy Evaluation for Personalized Pricing. CoRR abs/2302.12736 (2023)
[i8]
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  - journals/corr/abs-2304-06833
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Adam N. Elmachtoub, Henry Lam, Haofeng Zhang, Yunfan Zhao:
Estimate-Then-Optimize Versus Integrated-Estimation-Optimization: A Stochastic Dominance Perspective. CoRR abs/2304.06833 (2023)
[i7]
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  - journals/corr/abs-2305-09168
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Jacob Bergquist, Adam N. Elmachtoub:
Static Pricing Guarantees for Queueing Systems. CoRR abs/2305.09168 (2023)
2022
[j11]
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Omar Besbes, Adam N. Elmachtoub, Yunjie Sun:
Technical Note - Static Pricing: Universal Guarantees for Reusable Resources. Oper. Res. 70(2): 1143-1152 (2022)
[j10]
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Adam N. Elmachtoub, Paul Grigas:
Smart "Predict, then Optimize". Manag. Sci. 68(1): 9-26 (2022)
[j9]
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Maxime C. Cohen, Adam N. Elmachtoub, Xiao Lei:
Price Discrimination with Fairness Constraints. Manag. Sci. 68(12): 8536-8552 (2022)
[c11]
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Mingliu Chen, Adam N. Elmachtoub, Xiao Lei:
Matchmaking Strategies for Maximizing Player Engagement in Video Games. EC 2022: 1040
[c10]
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Adam N. Elmachtoub, Vineet Goyal, Roger Lederman, Harsh Sheth:
Revenue Management with Product Retirement and Customer Selection. WINE 2022: 358
2021
[j8]
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Adam N. Elmachtoub, Michael L. Hamilton:
The Power of Opaque Products in Pricing. Manag. Sci. 67(8): 4686-4702 (2021)
[j7]
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Ningyuan Chen, Adam N. Elmachtoub, Michael L. Hamilton, Xiao Lei:
Loot Box Pricing and Design. Manag. Sci. 67(8): 4809-4825 (2021)
[j6]
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Adam N. Elmachtoub, Vishal Gupta, Michael L. Hamilton:
The Value of Personalized Pricing. Manag. Sci. 67(10): 6055-6070 (2021)
[c9]
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Maxime C. Cohen, Adam N. Elmachtoub, Xiao Lei:
Price Discrimination with Fairness Constraints. FAccT 2021: 2
2020
[j5]
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  - journals/interfaces/BesbesES20
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Omar Besbes, Adam N. Elmachtoub, Yunjie Sun:
Pricing Analytics for Rotable Spare Parts. INFORMS J. Appl. Anal. 50(5): 313-324 (2020)
[c8]
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Adam N. Elmachtoub, Jason Cheuk Nam Liang, Ryan McNellis:
Decision Trees for Decision-Making under the Predict-then-Optimize Framework. ICML 2020: 2858-2867
[c7]
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Ningyuan Chen, Adam N. Elmachtoub, Michael L. Hamilton, Xiao Lei:
Loot Box Pricing and Design. EC 2020: 291-292
[i6]
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  - journals/corr/abs-2003-00360
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Adam N. Elmachtoub, Jason Cheuk Nam Liang, Ryan McNellis:
Decision Trees for Decision-Making under the Predict-then-Optimize Framework. CoRR abs/2003.00360 (2020)

2010 – 2019

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2019
[c6]
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Omar Besbes, Adam N. Elmachtoub, Yunjie Sun:
Static Pricing: Universal Guarantees for Reusable Resources. EC 2019: 393-394
[c5]
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Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas, Ambuj Tewari:
Generalization Bounds in the Predict-then-Optimize Framework. NeurIPS 2019: 14389-14398
[c4]
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Adam N. Elmachtoub, Vishal Gupta, Michael L. Hamilton:
The Value of Personalized Pricing. WINE 2019: 338
[i5]
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  - journals/corr/abs-1905-00731
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Omar Besbes, Adam N. Elmachtoub, Yunjie Sun:
Static Pricing: Universal Guarantees for Reusable Resources. CoRR abs/1905.00731 (2019)
[i4]
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  - journals/corr/abs-1905-11488
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Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas, Ambuj Tewari:
Generalization Bounds in the Predict-then-Optimize Framework. CoRR abs/1905.11488 (2019)
2017
[c3]
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  - conf/uai/McNellisEOP17
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Adam N. Elmachtoub, Ryan McNellis, Sechan Oh, Marek Petrik:
A Practical Method for Solving Contextual Bandit Problems Using Decision Trees. UAI 2017
[c2]
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Adam N. Elmachtoub, Michael L. Hamilton:
The Power of Opaque Products in Pricing. WINE 2017: 400
[i3]
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Adam N. Elmachtoub, Ryan McNellis, Sechan Oh, Marek Petrik:
A Practical Method for Solving Contextual Bandit Problems Using Decision Trees. CoRR abs/1706.04687 (2017)
[i2]
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  - journals/corr/abs-1710-08005
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Adam N. Elmachtoub, Paul Grigas:
Smart "Predict, then Optimize". CoRR abs/1710.08005 (2017)
2016
[j4]
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  - journals/ior/ElmachtoubL16
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Adam N. Elmachtoub, Retsef Levi:
Supply Chain Management with Online Customer Selection. Oper. Res. 64(2): 458-473 (2016)
[j3]
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  - journals/mp/CheungELS16
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Maurice Cheung, Adam N. Elmachtoub, Retsef Levi, David B. Shmoys:
The submodular joint replenishment problem. Math. Program. 158(1-2): 207-233 (2016)
2015
[j2]
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  - journals/mor/ElmachtoubL15
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Adam N. Elmachtoub, Retsef Levi:
From Cost Sharing Mechanisms to Online Selection Problems. Math. Oper. Res. 40(3): 542-557 (2015)
2012
[i1]
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  - journals/corr/abs-1203-3514
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Daniel Sheldon, Bistra Dilkina, Adam N. Elmachtoub, Ryan Finseth, Ashish Sabharwal, Jon Conrad, Carla P. Gomes, David B. Shmoys, William Allen, Ole Amundsen, William Vaughan:
Maximizing the Spread of Cascades Using Network Design. CoRR abs/1203.3514 (2012)
2010
[j1]
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  - journals/siamrev/ElmachtoubL10
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Adam N. Elmachtoub, Charles F. Van Loan:
From Random Polygon to Ellipse: An Eigenanalysis. SIAM Rev. 52(1): 151-170 (2010)
[c1]
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Daniel Sheldon, Bistra Dilkina, Adam N. Elmachtoub, Ryan Finseth, Ashish Sabharwal, Jon Conrad, Carla P. Gomes, David B. Shmoys, William Allen, Ole Amundsen, William Vaughan:
Maximizing the Spread of Cascades Using Network Design. UAI 2010: 517-526

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