no code implementations • 17 Oct 2020 • Shuxi Zeng, Murat Ali Bayir, Joesph J. Pfeiffer III, Denis Charles, Emre Kiciman
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.
no code implementations • 15 Oct 2020 • Razieh Nabi, Joel Pfeiffer, Murat Ali Bayir, Denis Charles, Emre Kiciman
This assumption is violated in settings where units are related through a network of dependencies.
no code implementations • 22 Aug 2018 • Murat Ali Bayir, Mingsen Xu, Yaojia Zhu, Yifan Shi
In this paper, we propose an offline counterfactual policy estimation framework called Genie to optimize Sponsored Search Marketplace.