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Found 4 papers, 1 papers with code
Learning continuous-valued treatment effects through representation balancing
In this work, we propose CBRNet, a causal machine learning approach to estimate an individual dose response from observational data.
A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions
In lending, where prices are specific to both customers and products, having a well-functioning personalized pricing policy in place is essential to effective business making.
Fraud Analytics: A Decade of Research -- Organizing Challenges and Solutions in the Field
In addition, we build a framework for fraud analytical methods and propose a keywording strategy for future research.
Predicting Day-Ahead Stock Returns using Search Engine Query Volumes: An Application of Gradient Boosted Decision Trees to the S&P 100
As it is the major modern resource for research, detailed data on internet usage exhibits vast amounts of behavioral information.
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