1 citations · 3 across the 4 of their papers we have counts for
4 papers
Collusive Outcomes Without Collusion
Inkoo Cho, Noah Williams
We develop a model of algorithmic pricing that shuts down every channel for explicit or implicit collusion while still generating collusive outcomes. We analyze the dynamics of a d…
Learning Underspecified Models
In-Koo Cho, Jonathan Libgober
This paper examines whether one can learn to play an optimal action while only knowing part of true specification of the environment. We choose the optimal pricing problem as our l…
Iterative Weak Learnability and Multi-Class AdaBoost
In-Koo Cho, Jonathan Libgober
We construct an efficient recursive ensemble algorithm for the multi-class classification problem, inspired by SAMME (Zhu, Zou, Rosset, and Hastie (2009)). We strengthen the weak l…
Machine Learning for Strategic Inference
In-Koo Cho, Jonathan Libgober
We study interactions between strategic players and markets whose behavior is guided by an algorithm. Algorithms use data from prior interactions and a limited set of decision rule…