From the 1 of 5 linked papers with an AI index.
5 citations · 5 across the 2 of their papers we have counts for
5 papers
First They Came for the Others: A Theory of Divide-and-Conquer
Yeon-Koo Che, Jinyuqi Huang, Wooyoung Lim
The paper models how divide-and-conquer tactics succeed by creating uncertainty about an aggressor's intent, causing bystanders to misinterpret attacks and leading victims to surre…
Data-Driven Monitoring and Deterrence in a Changing Environment
Yeon-Koo Che, Jinwoo Kim, Konrad Mierendorff
We study a dynamic model in which a principal monitors agents based on historical data of infractions. This data informs when and at what intensity to monitor; the monitoring decis…
Monotone Comparative Statics without Lattices
Yeon-Koo Che, Jinwoo Kim, Fuhito Kojima
The theory of Monotone Comparative Statics (MCS) has traditionally required a lattice structure, excluding certain multidimensional environments such as mixed-strategy games where…
Learning Against Nature: Minimax Regret and the Price of Robustness
Yeon-Koo Che, Longjian Li, Tianling Luo
We study how a decision-maker (DM) learns from data of unknown quality to form robust, ''general-purpose'' posterior beliefs. We develop a framework for robust learning and belief…
Statistical Discrimination in Ratings-Guided Markets
Yeon-Koo Che, Kyungmin Kim, Weijie Zhong
We study statistical discrimination of individuals based on payoff-irrelevant social identities in markets that utilize ratings and recommendations for social learning. Even though…