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06/02/2022
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards
Incrementality, which is used to measure the causal effect of showing an...
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09/10/2021
Auctioning with Strategically Reticent Bidders
Classic mechanism design often assumes that a bidder's action is restric...
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09/07/2021
Learning to Bid in Contextual First Price Auctions
In this paper, we investigate the problem about how to bid in repeated c...
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02/18/2021
Online Learning via Offline Greedy Algorithms: Applications in Market Design and Optimization
Motivated by online decision-making in time-varying combinatorial enviro...
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01/06/2021
Handling many conversions per click in modeling delayed feedback
Predicting the expected value or number of post-click conversions (purch...
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02/10/2020
Submodular Maximization Through Barrier Functions
In this paper, we introduce a novel technique for constrained submodular...
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11/05/2019
Response Prediction for Low-Regret Agents
Companies like Google and Microsoft run billions of auctions every day t...
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08/02/2017
