930 citations · 1.6k across the 17 of their papers we have counts for
5 papers · 1 filter
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…
Causal Post-Processing of Predictive Models
Carlos Fernández-Loría, Yanfang Hou, Foster Provost +1
Organizations increasingly rely on predictive models to decide who should be targeted for interventions, such as marketing campaigns, customer retention offers, or medical treatmen…
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters
Carlos Fernández-Loría, Foster Provost
Causal decision making (CDM) based on machine learning has become a routine part of business. Businesses algorithmically target offers, incentives, and recommendations to affect co…
Explaining Classification Models Built on High-Dimensional Sparse Data
Julie Moeyersoms, Brian d'Alessandro, Foster Provost +1
Predictive modeling applications increasingly use data representing people's behavior, opinions, and interactions. Fine-grained behavior data often has different structure from tra…
Enhancing Transparency and Control when Drawing Data-Driven Inferences about Individuals
Daizhuo Chen, Samuel P. Fraiberger, Robert Moakler +1
Recent studies have shown that information disclosed on social network sites (such as Facebook) can be used to predict personal characteristics with surprisingly high accuracy. In…