Elmachtoub, Adam N.

7 publications

AISTATS 2025 Dissecting the Impact of Model Misspecification in Data-Driven Optimization Adam N. Elmachtoub, Henry Lam, Haixiang Lan, Haofeng Zhang

NeurIPS 2025 The Bias-Variance Tradeoff in Data-Driven Optimization: A Local Misspecification Perspective Haixiang Lan, Luofeng Liao, Adam N. Elmachtoub, Christian Kroer, Henry Lam, Haofeng Zhang

NeurIPS 2023 An Active Learning Framework for Multi-Group Mean Estimation Abdellah Aznag, Rachel Cummings, Adam N. Elmachtoub

ICML 2020 Decision Trees for Decision-Making Under the Predict-Then-Optimize Framework Adam N. Elmachtoub, Jason Cheuk Nam Liang, Ryan Mcnellis

NeurIPS 2019 Generalization Bounds in the Predict-Then-Optimize Framework Othman El Balghiti, Adam N. Elmachtoub, Paul Grigas, Ambuj Tewari

UAI 2017 A Practical Method for Solving Contextual Bandit Problems Using Decision Trees Adam N. Elmachtoub, Ryan McNellis, Sechan Oh, Marek Petrik

UAI 2010 Maximizing the Spread of Cascades Using Network Design 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