Nathan Kallus
Title
Cited by
Cited by
Year
Data-driven robust optimization
D Bertsimas, V Gupta, N Kallus
Mathematical Programming 167 (2), 235-292, 2018
4732018
From predictive to prescriptive analytics
D Bertsimas, N Kallus
Management Science 66 (3), 1025-1044, 2020
302*2020
Robust sample average approximation
D Bertsimas, V Gupta, N Kallus
Mathematical Programming 171 (1), 217-282, 2018
162*2018
Predicting crowd behavior with big public data
N Kallus
Proceedings of the 23rd International Conference on World Wide Web, 625-630, 2014
1082014
Balanced policy evaluation and learning
N Kallus
Advances in neural information processing systems 31, 2018
1052018
Personalized diabetes management using electronic medical records
D Bertsimas, N Kallus, AM Weinstein, YD Zhuo
Diabetes care 40 (2), 210-217, 2017
992017
Generalized optimal matching methods for causal inference.
N Kallus
J. Mach. Learn. Res. 21, 62:1-62:54, 2020
97*2020
Confounding-robust policy improvement
N Kallus, A Zhou
arXiv preprint arXiv:1805.08593, 2018
942018
Fairness under unawareness: Assessing disparity when protected class is unobserved
J Chen, N Kallus, X Mao, G Svacha, M Udell
Proceedings of the conference on fairness, accountability, and transparency …, 2019
872019
Recursive partitioning for personalization using observational data
N Kallus
International Conference on Machine Learning, 1789-1798, 2017
79*2017
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes.
N Kallus, M Uehara
J. Mach. Learn. Res. 21, 167:1-167:63, 2020
782020
Residual unfairness in fair machine learning from prejudiced data
N Kallus, A Zhou
International Conference on Machine Learning, 2439-2448, 2018
762018
Policy evaluation and optimization with continuous treatments
N Kallus, A Zhou
International Conference on Artificial Intelligence and Statistics, 1243-1251, 2018
682018
The power of optimization over randomization in designing experiments involving small samples
D Bertsimas, M Johnson, N Kallus
Operations Research 63 (4), 868-876, 2015
682015
Optimal a priori balance in the design of controlled experiments
N Kallus
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2018
622018
Removing hidden confounding by experimental grounding
N Kallus, AM Puli, U Shalit
arXiv preprint arXiv:1810.11646, 2018
572018
Efficiently breaking the curse of horizon: Double reinforcement learning in infinite-horizon processes
N Kallus, M Uehara
arXiv preprint arXiv:1909.05850, 2019
48*2019
Inventory management in the era of big data
D Bertsimas, N Kallus, A Hussain
Production and Operations Management 25 (12), 2006-2009, 2016
482016
Assessing algorithmic fairness with unobserved protected class using data combination
N Kallus, X Mao, A Zhou
Management Science, 2021
472021
Deep generalized method of moments for instrumental variable analysis
A Bennett, N Kallus, T Schnabel
arXiv preprint arXiv:1905.12495, 2019
462019
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