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Found 3 papers, 1 papers with code
Bandit Profit-maximization for Targeted Marketing
Specifically, we aim to maximize profit over an arbitrary sequence of multiple demand curves, each dependent on a distinct ancillary variable, but sharing the same price.
Differentially Private Online Item Pricing
This work addresses the problem of revenue maximization in a repeated, unlimited supply item-pricing auction while preserving buyer privacy.
On the Power of Deep but Naive Partial Label Learning
We also address the question of how and why such a naive model works well with deep neural networks.
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