Fetching the paper…
Reading the bibliography…
We consider the problem of estimating personalized treatment policies that are "externally valid" or "generalizable": they perform well in target populations that differ from the experimental (or training) population from which the data are sampled.
Weak convergence and empirical processes
van der Vaart, A. W. and J. A. Wellner (1996) · 1996
Earlier work this paper cites.
Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts
Heckman, J. J., J. Smith, and N. Clements (1997) · 1997
Earlier work this paper cites.
The mixing problem in programme evaluation
Manski, C. F. (1997) · 1997
Earlier work this paper cites.
Envelope theorems for arbitrary choice sets
Milgrom, P. and I. Segal (2002) · 2002
Earlier work this paper cites.
Semiparametric instrumental variable estimation of treatment response models
Abadie, A. (2003) · 2003
Earlier work this paper cites.
Statistical treatment rules for heterogeneous populations
Manski, C. F. (2004) · 2004
Earlier work this paper cites.
Convexity, classification, and risk bounds
Bartlett, P. L., M. I. Jordan, and J. D. McAuliffe (2006) · 2006
Earlier work this paper cites.
Econometric evaluation of social programs, Part III: Distributional treatment effects, dynamic treatment effects, dynamic discrete choice, and general equilibrium policy evaluation
Abbring, J. H. and J. J. Heckman (2007) · 2007
Earlier work this paper cites.
The experimental approach to development economics
Banerjee, A. V. and E. Duflo (2009) · 2009
Earlier work this paper cites.
Optimal Transport: Old and New
Villani, C. (2009) · 2009
Earlier work this paper cites.
Instruments, randomization, and learning about development
Deaton, A. (2010) · 2010
Earlier work this paper cites.
Sharp bounds on the distribution of treatment effects and their statistical inference
Fan, Y. and S. S. Park (2010) · 2010
Earlier work this paper cites.
Partial identification of spread parameters
Stoye, J. (2010) · 2010
Earlier work this paper cites.
Performance guarantees for individualized treatment rules
Qian, M. and S. A. Murphy (2011) · 2011
Earlier work this paper cites.
Inferring welfare maximizing treatment assignment under budget constraints
Bhattacharya, D. and P. Dupas (2012) · 2012
Cited alongside, same era.
Minimax regret treatment choice with covariates or with limited validity of experiments
Stoye, J. (2012) · 2012
Cited alongside, same era.
Estimating individualized treatment rules using outcome weighted learning
Zhao, Y., D. Zeng, A. J. Rush, and M. R. Kosorok (2012) · 2012
Cited alongside, same era.
Site selection bias in program evaluation
Allcott, H. (2015) · 2015
Cited alongside, same era.
Batch learning from logged bandit feedback through counterfactual risk minimization
Swaminathan, A. and T. Joachims (2015) · 2015
Cited alongside, same era.
Mathematical Foundations of Infinite-Dimensional Statistical Models
Giné, E. and R. Nickl (2016) · 2016
A causal bootstrap
Imbens, G. and K. Menzel (2021) · 2021
Later among the works it cites.
More efficient policy learning via optimal retargeting
Kallus, N. (2021) · 2021
Later among the works it cites.
Model selection for treatment choice: Penalized welfare maximization
Mbakop, E. and M. Tabord-Meehan (2021) · 2021
Later among the works it cites.
Growing markets through business training for female entrepreneurs: A market-level randomized experiment in Kenya
McKenzie, D. and S. Puerto (2021) · 2021
Later among the works it cites.
Learning optimal distributionally robust individualized treatment rules
Mo, W., Z. Qi, and Y. Liu (2021) · 2021
Later among the works it cites.
Robustness, heterogeneous treatment effects and covariate shifts
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Educational impacts and cost-effectiveness of conditional cash transfer programs in developing countries: A meta-analysis
García, S. and J. E. Saavedra (2017) · 2017
Cited alongside, same era.
Recursive partitioning for personalization using observational data
Kallus, N. (2017) · 2017
Cited alongside, same era.
Counterfactual mapping and individual treatment effects in nonseparable models with binary endogeneity
Vuong, Q. and H. Xu (2017) · 2017
Cited alongside, same era.
Who should be treated? empirical welfare maximization methods for treatment choice
Kitagawa, T. and A. Tetenov (2018) · 2018
Cited alongside, same era.
Who should be treated? empirical welfare maximization methods for treatment choice
Kitagawa, T. and A. Tetenov (2018) · 2018
Cited alongside, same era.
Distributionally robust policy evaluation and learning in offline contextual bandits
Si, N., F. Zhang, Z. Zhou, and J. Blanchet (2020) · 2020
Cited alongside, same era.
Spini, P. E. (2021) · 2021
Later among the works it cites.
More efficient policy learning via optimal retargeting
Kallus, N. (2021) · 2021
Later among the works it cites.
Distributionally robust policy learning with wasserstein distance
Kido, D. (2022) · 2022
Closest in time.
On robustness of individualized decision rules
Qi, Z., J.-S. Pang, and Y. Liu (2022) · 2022
Closest in time.
Policy learning under biased sample selection
Lei, L., R. Sahoo, and S. Wager (2023) · 2023
Closest in time.
Distributionally Robust Stochastic Optimization with Wasserstein Distance
Gao, R. and A. Kleywegt (2023) · 2023
Closest in time.
Generalizing the results from social experiments: Theory and evidence from India
Gechter, M. (2024) · 2024
Closest in time.
Treatment allocation with strategic agents
Munro, E. (2025) · 2025
Closest in time.