Search Results for author:
Found 3 papers, 0 papers with code
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
We describe a causal transfer random forest (CTRF) that combines existing training data with a small amount of data from a randomized experiment to train a model which is robust to the feature shifts and therefore transfers to a new targeting distribution.
Causal Inference in the Presence of Interference in Sponsored Search Advertising
This assumption is violated in settings where units are related through a network of dependencies.
Genie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplace
In this paper, we propose an offline counterfactual policy estimation framework called Genie to optimize Sponsored Search Marketplace.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
