Constructing effective personalized policies using counterfactual inference from biased data sets with many features

Author:

Atan Onur,Zame William R.,Feng Qiaojun,van der Schaar Mihaela

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference40 articles.

1. Alaa, A.M., van der Schaar, M. (2017). Bayesian inference of individualized treatment effects using multi-task gaussian processes. arXiv preprint arXiv:1704.02801

2. Atan, O., Zame, W. R., & van der Schaar, M. (2018). Learning optimal policies from observational data. arXiv preprint arXiv:1802.08679

3. Athey, S., & Imbens, G. W. (2015). Recursive partitioning for heterogeneous causal effects. arXiv preprint arXiv:1504.01132 .

4. Audibert, J. Y., Munos, R., & Szepesvári, C. (2009). Exploration–exploitation tradeoff using variance estimates in multi-armed bandits. Theoretical Computer Science, 410(19), 1876–1902.

5. Beygelzimer, A., & Langford, J. (2009). The offset tree for learning with partial labels. In Proceedings of the 15th ACM SIGKDD international conference on knowledge discovery and data mining (pp. 129–138).

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