Couterfactual reasonning
Post date: Sep 28, 2016 4:02:02 PM
Notes on Bottou's paper. Discussion led by Krikamol.
Key equations are 4 and 5
We evaluate the counterfactual expected value by importance sampling
this is a direct consequence of the Markov factorization
Potential outcome of Rubins (treatment, variable, and covariate)
This is what people do in domain adaptation
In equation (5) L would be the loss function
The denominator needs to be non zero. Maybe not enough data to explore the support of the distribution.
Compute confidence interval
Upper bound the values