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Dive into the research topics where Weiran Shen is active.

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Featured researches published by Weiran Shen.


international joint conference on artificial intelligence | 2018

Ex-post IR dynamic auctions with cost-per-action payments

Weiran Shen; Zihe Wang; Song Zuo

Consider a repeated auction between one seller and many buyers, where each buyer only has an estimation of her value in each period until she actually receives the item in that period. The seller is allowed to conduct a dynamic auction to sell the items but must guarantee ex-post individual rationality. In other words, if the buyer realized that her value of the item she just received was zero, she did not need to pay anything. Unlike the clicks on the ads, these actions are private information only observable by the buyers (advertisers). Hence they may have incentives to misreport the user actions, because they can pay less under cost-per-action payment schemes with ex-post individual rationality guarantees. In this paper, we use a structure that we call credit accounts to enable a general reduction from any incentive compatible and ex-ante individual rational dynamic auction to an approximate incentive compatible and ex-post individually rational dynamic auction with credit accounts. Our reduction can obtain stronger individual rationality guarantees at of the cost of weaker incentive compatibility. Surprisingly, our reduction works without making any common knowledge assumptions. Finally, as a complement to our reduction, we prove that there is no non-trivial auction that is exactly incentive compatible and ex-post individually rational under this setting.


adaptive agents and multi agents systems | 2017

Hotelling-Downs Model with Limited Attraction

Weiran Shen; Zihe Wang


national conference on artificial intelligence | 2018

Coalition Manipulation of Gale-Shapley Algorithm

Yuan Deng; Pingzhong Tang; Weiran Shen


adaptive agents and multi-agents systems | 2018

Buyer-Optimal Distribution

Weiran Shen; Pingzhong Tang; Yulong Zeng


arXiv: Systems and Control | 2017

Optimal Vehicle Dispatching Schemes via Dynamic Pricing.

Mengjing Chen; Weiran Shen; Pingzhong Tang; Song Zuo


Archive | 2017

Reinforcement Mechanism Design, with Applications to Dynamic Pricing in Sponsored Search Auctions.

Weiran Shen; Binghui Peng; Hanpeng Liu; Michael Zhang; Ruohan Qian; Yan Hong; Zhi Guo; Zongyao Ding; Pengjun Lu; Pingzhong Tang


arXiv: Artificial Intelligence | 2018

Computer-aided mechanism design: designing revenue-optimal mechanisms via neural networks.

Weiran Shen; Pingzhong Tang; Song Zuo


adaptive agents and multi-agents systems | 2018

A Closed-Form Characterization of Buyer Signaling Schemes in Monopoly Pricing

Weiran Shen; Pingzhong Tang; Yulong Zeng


adaptive agents and multi-agents systems | 2018

Ex-post IR Dynamic Auctions with Cost-per-action Payments

Weiran Shen; Zihe Wang; Song Zuo


adaptive agents and multi-agents systems | 2018

Coalitional Permutation Manipulations in the Gale-Shapley Algorithm

Yuan Deng; Weiran Shen; Pingzhong Tang

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