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Nathan Kallus
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Cited by
Year
Data-driven robust optimization
D Bertsimas, V Gupta, N Kallus
Mathematical Programming 167 (2), 235-292, 2018
5072018
From predictive to prescriptive analytics
D Bertsimas, N Kallus
Management Science 66 (3), 1025-1044, 2020
3442020
Robust sample average approximation
D Bertsimas, V Gupta, N Kallus
Mathematical Programming 171 (1), 217-282, 2018
186*2018
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
1162019
Predicting crowd behavior with big public data
N Kallus
Proceedings of the 23rd International Conference on World Wide Web, 625-630, 2014
1112014
Balanced policy evaluation and learning
N Kallus
Advances in neural information processing systems 31, 2018
1102018
Confounding-robust policy improvement
N Kallus, A Zhou
Advances in neural information processing systems 31, 2018
1032018
Generalized optimal matching methods for causal inference.
N Kallus
J. Mach. Learn. Res. 21, 62:1-62:54, 2020
101*2020
Personalized diabetes management using electronic medical records
D Bertsimas, N Kallus, AM Weinstein, YD Zhuo
Diabetes care 40 (2), 210-217, 2017
1012017
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes.
N Kallus, M Uehara
J. Mach. Learn. Res. 21 (167), 1-63, 2020
952020
Recursive partitioning for personalization using observational data
N Kallus
International conference on machine learning, 1789-1798, 2017
84*2017
Residual unfairness in fair machine learning from prejudiced data
N Kallus, A Zhou
International Conference on Machine Learning, 2439-2448, 2018
832018
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
782015
Dynamic assortment personalization in high dimensions
N Kallus, M Udell
Operations Research 68 (4), 1020-1037, 2020
75*2020
Policy evaluation and optimization with continuous treatments
N Kallus, A Zhou
International conference on artificial intelligence and statistics, 1243-1251, 2018
742018
Optimal a priori balance in the design of controlled experiments
N Kallus
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2018
702018
Removing hidden confounding by experimental grounding
N Kallus, AM Puli, U Shalit
Advances in neural information processing systems 31, 2018
632018
Assessing algorithmic fairness with unobserved protected class using data combination
N Kallus, X Mao, A Zhou
Management Science 68 (3), 1959-1981, 2022
612022
Efficiently breaking the curse of horizon: Double reinforcement learning in infinite-horizon processes
N Kallus, M Uehara
arXiv preprint arXiv:1909.05850, 2019
58*2019
Deep generalized method of moments for instrumental variable analysis
A Bennett, N Kallus, T Schnabel
Advances in neural information processing systems 32, 2019
542019
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