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Showing 2018 · cs.LGShow all
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cs.LG2018
Efficient Counterfactual Learning from Bandit Feedback
Yusuke Narita, Shota Yasui, Kohei Yata
What is the most statistically efficient way to do off-policy evaluation and optimization with batch data from bandit feedback? For log data generated by contextual bandit algorith…
cs.LG2018★ 13 cited
A Nonparametric Delayed Feedback Model for Conversion Rate Prediction
Yuya Yoshikawa, Yusaku Imai
Predicting conversion rates (CVRs) in display advertising (e.g., predicting the proportion of users who purchase an item (i.e., a conversion) after its corresponding ad is clicked)…