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Nathan Kallus
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Cited by
Year
From predictive to prescriptive analytics
D Bertsimas, N Kallus
Management Science 66 (3), 1025-1044, 2020
8082020
Data-driven robust optimization
D Bertsimas, V Gupta, N Kallus
Mathematical Programming 167, 235-292, 2018
7752018
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
3542019
Balanced policy evaluation and learning
N Kallus
Advances in neural information processing systems 31, 2018
3022018
Robust sample average approximation
D Bertsimas, V Gupta, N Kallus
Mathematical Programming 171 (1), 217-282, 2018
2972018
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
2152020
Assessing algorithmic fairness with unobserved protected class using data combination
N Kallus, X Mao, A Zhou
Management Science 68 (3), 1959-1981, 2022
1922022
Confounding-robust policy improvement
N Kallus, A Zhou
Advances in neural information processing systems 31, 2018
1912018
Residual unfairness in fair machine learning from prejudiced data
N Kallus, A Zhou
International Conference on Machine Learning, 2439-2448, 2018
1672018
Personalized diabetes management using electronic medical records
D Bertsimas, N Kallus, AM Weinstein, YD Zhuo
Diabetes care 40 (2), 210-217, 2017
1592017
Deep generalized method of moments for instrumental variable analysis
A Bennett, N Kallus, T Schnabel
Advances in neural information processing systems 32, 2019
1502019
Policy evaluation and optimization with continuous treatments
N Kallus, A Zhou
International conference on artificial intelligence and statistics, 1243-1251, 2018
1482018
Removing hidden confounding by experimental grounding
N Kallus, AM Puli, U Shalit
Advances in neural information processing systems 31, 2018
1452018
Generalized optimal matching methods for causal inference.
N Kallus
J. Mach. Learn. Res. 21, 62:1-62:54, 2020
1392020
Predicting crowd behavior with big public data
N Kallus
Proceedings of the 23rd International Conference on World Wide Web, 625-630, 2014
1372014
Large language models as zero-shot conversational recommenders
Z He, Z Xie, R Jha, H Steck, D Liang, Y Feng, BP Majumder, N Kallus, ...
Proceedings of the 32nd ACM international conference on information and …, 2023
1302023
Recursive partitioning for personalization using observational data
N Kallus
International conference on machine learning, 1789-1798, 2017
127*2017
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
1212022
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
1162019
Optimal A Priori Balance in the Design of Controlled Experiments
N Kallus
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2018
1122018
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