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20212023
most citedA Scalable Neural Network for DSIC Affine Maximizer Auction Design

6 citations · 25 across the 18 of their papers we have counts for

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6 papers · 1 filter

cs.GT2023

Equilibrium Analysis of Customer Attraction Games

Xiaotie Deng, Hangxin Gan, Ningyuan Li +2

We introduce a game model called "customer attraction game" to demonstrate the competition among online content providers. In this model, customers exhibit interest in various topi…

cs.GT2023★ 2 cited

Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets

Yurong Chen, Qian Wang, Zhijian Duan +4

In online ad markets, a rising number of advertisers are employing bidding agencies to participate in ad auctions. These agencies are specialized in designing online algorithms and…

cs.GT2023★ 6 cited

A Scalable Neural Network for DSIC Affine Maximizer Auction Design

Zhijian Duan, Haoran Sun, Yurong Chen +1

Automated auction design aims to find empirically high-revenue mechanisms through machine learning. Existing works on multi item auction scenarios can be roughly divided into Regre…

cs.GT2023★ 1 cited

Learning to Bid in Repeated First-Price Auctions with Budgets

Qian Wang, Zongjun Yang, Xiaotie Deng +1

Budget management strategies in repeated auctions have received growing attention in online advertising markets. However, previous work on budget management in online bidding mainl…

cs.GT2023

Learning to Manipulate a Commitment Optimizer

Yurong Chen, Xiaotie Deng, Jiarui Gan +1

It is shown in recent studies that in a Stackelberg game the follower can manipulate the leader by deviating from their true best-response behavior. Such manipulations are computat…

cs.GT2023

Are Equivariant Equilibrium Approximators Beneficial?

Zhijian Duan, Yunxuan Ma, Xiaotie Deng

Recently, remarkable progress has been made by approximating Nash equilibrium (NE), correlated equilibrium (CE), and coarse correlated equilibrium (CCE) through function approximat…