24 citations · 33 across the 5 of their papers we have counts for
7 papers
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality
Jibang Wu, Weiran Shen, Fei Fang +1
Optimizing strategic decisions (a.k.a. computing equilibrium) is key to the success of many non-cooperative multi-agent applications. However, in many real-world situations, we may…
Optimal Pricing of Information
Shuze Liu, Weiran Shen, Haifeng Xu
A decision maker is choosing between an active action (e.g., purchase a house, invest certain stock) and a passive action. The payoff of the active action depends on the buyer's pr…
Green Security Game with Community Engagement
Taoan Huang, Weiran Shen, David Zeng +3
While game-theoretic models and algorithms have been developed to combat illegal activities, such as poaching and over-fishing, in green security domains, none of the existing work…
Mechanism Design for Multi-Party Machine Learning
Mengjing Chen, Yang Liu, Weiran Shen +3
In a multi-party machine learning system, different parties cooperate on optimizing towards better models by sharing data in a privacy-preserving way. A major challenge in learning…
Bayesian Nash Equilibrium in First-Price Auction with Discrete Value Distributions
Weiran Shen, Zihe Wang, Song Zuo
First price auctions are widely used in government contracts and industrial auctions. In this paper, we consider the Bayesian Nash Equilibrium (BNE) in first price auctions with di…
Learning to Clear the Market
Weiran Shen, Sébastien Lahaie, Renato Paes Leme
The problem of market clearing is to set a price for an item such that quantity demanded equals quantity supplied. In this work, we cast the problem of predicting clearing prices i…