Learning disentangled representations for counterfactual regression

N Hassanpour, R Greiner - International Conference on Learning …, 2019 - openreview.net
We consider the challenge of estimating treatment effects from observational data; and point
out that, in general, only some factors based on the observed covariates X contribute to …

[PDF][PDF] CounterFactual Regression with Importance Sampling Weights.

N Hassanpour, R Greiner - IJCAI, 2019 - ijcai.org
Perhaps the most pressing concern of a patient diagnosed with cancer is her life expectancy
under various treatment options. For a binary-treatment case, this translates into estimating …

[PDF][PDF] PAC-Bayesian analysis of counterfactual risk in stochastic contextual bandits

J Wang, B Mazoure, G McCracken… - … and Decision Making, 2019 - bmazoure.github.io
This work tackles the off-policy evaluation problem within the contextual bandit setting,
where only the action and reward recommended by the logging policy were recorded and …

Counterfactual reasoning in observational studies

N Hassanpour - Proceedings of the AAAI Conference on Artificial …, 2019 - aaai.org
To identify the appropriate action to take, an intelligent agent must infer the causal effects of
every possible action choices. A prominent example is precision medicine that attempts to …