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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, 235-292, 2018
7172018
From predictive to prescriptive analytics
D Bertsimas, N Kallus
Management Science 66 (3), 1025-1044, 2020
7152020
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
3332019
Balanced policy evaluation and learning
N Kallus
Advances in neural information processing systems 31, 2018
3192018
Robust sample average approximation
D Bertsimas, V Gupta, N Kallus
Mathematical Programming 171 (1), 217-282, 2018
2772018
Double reinforcement learning for efficient off-policy evaluation in markov decision processes
N Kallus, M Uehara
Journal of Machine Learning Research 21 (167), 1-63, 2020
1902020
Confounding-robust policy improvement
N Kallus, A Zhou
Advances in neural information processing systems 31, 2018
1742018
Assessing algorithmic fairness with unobserved protected class using data combination
N Kallus, X Mao, A Zhou
Management Science 68 (3), 1959-1981, 2022
1732022
Residual unfairness in fair machine learning from prejudiced data
N Kallus, A Zhou
International Conference on Machine Learning, 2439-2448, 2018
1542018
Personalized diabetes management using electronic medical records
D Bertsimas, N Kallus, AM Weinstein, YD Zhuo
Diabetes care 40 (2), 210-217, 2017
1492017
Policy evaluation and optimization with continuous treatments
N Kallus, A Zhou
International conference on artificial intelligence and statistics, 1243-1251, 2018
1352018
Predicting crowd behavior with big public data
N Kallus
Proceedings of the 23rd International Conference on World Wide Web, 625-630, 2014
1342014
Removing hidden confounding by experimental grounding
N Kallus, AM Puli, U Shalit
Advances in neural information processing systems 31, 2018
1322018
Deep generalized method of moments for instrumental variable analysis
A Bennett, N Kallus, T Schnabel
Advances in neural information processing systems 32, 2019
1282019
Generalized optimal matching methods for causal inference.
N Kallus
J. Mach. Learn. Res. 21, 62:1-62:54, 2020
1272020
Recursive partitioning for personalization using observational data
N Kallus
International conference on machine learning, 1789-1798, 2017
120*2017
Dynamic assortment personalization in high dimensions
N Kallus, M Udell
Operations Research 68 (4), 1020-1037, 2020
105*2020
Interval estimation of individual-level causal effects under unobserved confounding
N Kallus, X Mao, A Zhou
The 22nd international conference on artificial intelligence and statistics …, 2019
1032019
Optimal A Priori Balance in the Design of Controlled Experiments
N Kallus
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2018
1012018
Generalization bounds and representation learning for estimation of potential outcomes and causal effects
FD Johansson, U Shalit, N Kallus, D Sontag
Journal of Machine Learning Research 23 (166), 1-50, 2022
1002022
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