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Found 3 papers, 1 papers with code
Towards Better Statistical Understanding of Watermarking LLMs
We consider the trade-off between model distortion and detection ability and formulate it as a constrained optimization problem based on the green-red algorithm of Kirchenbauer et al. (2023a).
A Neural Network Based Choice Model for Assortment Optimization
Discrete-choice models are used in economics, marketing and revenue management to predict customer purchase probabilities, say as a function of prices and other features of the offered assortment.
Deep Learning for Choice Modeling
Choice modeling has been a central topic in the study of individual preference or utility across many fields including economics, marketing, operations research, and psychology.
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