Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising

L. Bottou; Jonas Martin Peters; J. Quiñonero-Candela; D. X. Charles; D. M. Chickering; E. Portugualy; D. Ray; P. Simard; E. Snelson

Counterfactual Reasoning and Learning Systems: The Example of Computational Advertising

L. Bottou, Jonas Martin Peters, J. Quiñonero-Candela, D. X. Charles, D. M. Chickering, E. Portugualy, D. Ray, P. Simard, E. Snelson

178 Citationer (Scopus)

Abstract

This work shows how to leverage causal inference to understand the behavior of complex learning systems interacting with their environment and predict the consequences of changes to the system. Such predictions allow both humans and algorithms to select the changes that would have improved the system performance. This work is illustrated by experiments on the ad placement system associated with the Bing search engine.

Originalsprog	Udefineret/Ukendt
Tidsskrift	Journal of Machine Learning Research
Vol/bind	14
Sider (fra-til)	3207-3260
Antal sider	54
ISSN	1533-7928
Status	Udgivet - nov. 2013
Udgivet eksternt	Ja

Citationsformater

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AU - Ray, D.

AU - Simard, P.

AU - Snelson, E.

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AB - This work shows how to leverage causal inference to understand the behavior of complex learning systems interacting with their environment and predict the consequences of changes to the system. Such predictions allow both humans and algorithms to select the changes that would have improved the system performance. This work is illustrated by experiments on the ad placement system associated with the Bing search engine.

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