3 papers
stat.ML2026
Logging Policy Design for Off-Policy Evaluation
Connor Douglas, Joel Persson, Foster Provost
Off-policy evaluation (OPE) estimates the value of a target treatment policy (e.g., a recommender system) using data collected by a different logging policy. It enables high-stakes…
cs.LG2026
PRISM: LLM-Guided Semantic Clustering for High-Precision Topics
Connor Douglas, Utkucan Balci, Joseph Aylett-Bullock
In this paper, we propose Precision-Informed Semantic Modeling (PRISM), a structured topic modeling framework combining the benefits of rich representations captured by LLMs with t…
econ.GN2026
The Illusion of Collusion
Connor Douglas, Foster Provost, Arun Sundararajan
Algorithmic agents are used in a variety of competitive decision-making settings, including pricing contexts that range from online retail to residential home rental. We study the…