Fetching the paper…
Reading the bibliography…
We propose a model-free framework for sensitivity analysis of individual treatment effects (ITEs), building upon ideas from conformal inference.
Nested conformal prediction and quantile out-of-bag ensemble methods
Gupta, C., Kuchibhotla, A. K., and Ramdas, A. K. (2019) · 1910
Earlier work this paper cites.
Sur les applications de la théorie des probabilités aux experiences agricoles: Essai des principes
Neyman, J. (1923) · 1923
Earlier work this paper cites.
Comment: Neyman (1923) and causal inference in experiments and observational studies
Rubin, D. B. (1990) · 1923
Earlier work this paper cites.
Planning of experiments
Cox, D. R. (1958) · 1958
Earlier work this paper cites.
Smoking and lung cancer: recent evidence and a discussion of some questions
Cornfield, J., Haenszel, W., Hammond, E. C., Lilienfeld, A. M., Shimkin, M. B., and Wynder, E. L. (1959) · 1959
Earlier work this paper cites.
Spurious effects from an extraneous variable
Bross, I. D. (1966) · 1966
Earlier work this paper cites.
Pertinency of an extraneous variable
Bross, I. D. (1967) · 1967
Earlier work this paper cites.
Bayesian inference for causal effects: The role of randomization
Rubin, D. B. (1978) · 1978
Earlier work this paper cites.
Sensitivity analysis for certain permutation inferences in matched observational studies
Rosenbaum, P. R. (1987) · 1987
Earlier work this paper cites.
Dual and simultaneous sensitivity analysis for matched pairs
Gastwirth, J. L., Krieger, A. M., and Rosenbaum, P. R. (1998) · 1998
Earlier work this paper cites.
Sensitivity to exogeneity assumptions in program evaluation
Imbens, G. W. (2003) · 2003
Earlier work this paper cites.
Off-policy policy evaluation for sequential decisions under unobserved confounding
Namkoong, H., Keramati, R., Yadlowsky, S., and Brunskill, E. (2020) · 2003
Earlier work this paper cites.
Algorithmic learning in a random world
Vovk, V., Gammerman, A., and Shafer, G. (2005) · 2005
Earlier work this paper cites.
Conformal inference of counterfactuals and individual treatment effects
Lei, L. and Candès, E. J. (2020) · 2006
Earlier work this paper cites.
Quantile regression forests
Meinshausen, N. and Ridgeway, G. (2006) · 2006
Earlier work this paper cites.
Classification with valid and adaptive coverage
Romano, Y., Sesia, M., and Candès, E. J. (2020) · 2006
Cited alongside, same era.
A distributional approach for causal inference using propensity scores
Tan, Z. (2006) · 2006
Cited alongside, same era.
The impact of residual and unmeasured confounding in epidemiologic studies: a simulation study
Fewell, Z., Davey Smith, G., and Sterne, J. A. (2007) · 2007
Cited alongside, same era.
Hedging predictions in machine learning
Gammerman, A. and Vovk, V. (2007) · 2007
Cited alongside, same era.
Identifying the Environmental Causes of Disease: How Should We Decide what to Believe and when to Take Action?: Report Synopsis
Rutter, M. (2007) · 2007
Cited alongside, same era.
Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap
Zhao, Q., Small, D. S., and Bhattacharya, B. B. (2017) · 2017
Later among the works it cites.
Unmeasured confounders in observational studies comparing bilateral versus single internal thoracic artery for coronary artery bypass grafting: a meta-analysis
Gaudino, M., Di Franco, A., Rahouma, M., Tam, D. Y., Iannaccone, M., Deb, S., D’Ascenzo, F., Abouarab, A. A., Girardi, L. N., Taggart, D. P., et al. (2018) · 2018
Later among the works it cites.
Distribution-free predictive inference for regression
Lei, J., G’Sell, M., Rinaldo, A., Tibshirani, R. J., and Wasserman, L. (2018) · 2018
Later among the works it cites.
Bounds on the conditional and average treatment effect with unobserved confounding factors
Yadlowsky, S., Namkoong, H., Basu, S., Duchi, J., and Tian, L. (2018) · 2018
Later among the works it cites.
Assessing treatment effect variation in observational studies: Results from a data challenge
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cauchois, M., Gupta, S., Ali, A., and Duchi, J. C. (2020) · 2008
Cited alongside, same era.
A tutorial on conformal prediction
Shafer, G. and Vovk, V. (2008) · 2008
Cited alongside, same era.
On-line predictive linear regression
Vovk, V., Nouretdinov, I., and Gammerman, A. (2009) · 2009
Cited alongside, same era.
Conditional validity of inductive conformal predictors
Vovk, V. (2012) · 2012
Cited alongside, same era.
Transductive conformal predictors
Vovk, V. (2013) · 2013
Cited alongside, same era.
Distribution-free prediction bands for non-parametric regression
Lei, J. and Wasserman, L. (2014) · 2014
Cited alongside, same era.
Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
Imbens, G. W. and Rubin, D. B. (2015) · 2015
Cited alongside, same era.
Carvalho, C., Feller, A., Murray, J., Woody, S., and Yeager, D. (2019) · 2019
Later among the works it cites.
Fast exact conformalization of the lasso using piecewise linear homotopy
Lei, J. (2019) · 2019
Later among the works it cites.
Conformalized quantile regression
Romano, Y., Patterson, E., and Candes, E. (2019) · 2019
Later among the works it cites.
Conformal prediction under covariate shift
Tibshirani, R. J., Barber, R. F., Candès, E. J., and Ramdas, A. (2019) · 2019
Later among the works it cites.
Knowing what you know: valid and validated confidence sets in multiclass and multilabel prediction
Cauchois, M., Gupta, S., and Duchi, J. C. (2021) · 2021
Closest in time.
Sharp sensitivity analysis for inverse propensity weighting via quantile balancing
Dorn, J. and Guo, K. (2021) · 2021
Closest in time.
Minimax-optimal policy learning under unobserved confounding
Kallus, N. and Zhou, A. (2021) · 2021
Closest in time.
Pac prediction sets under covariate shift
Park, S., Dobriban, E., Lee, I., and Bastani, O. (2021) · 2021
Closest in time.
Estimating means of bounded random variables by betting
Waudby-Smith, I. and Ramdas, A. (2021) · 2021
Closest in time.
Conformal sensitivity analysis for individual treatment effects
Yin, M., Shi, C., Wang, Y., and Blei, D. M. (2021) · 2021
Closest in time.