3 papers
cs.IR2024
Mamba for Scalable and Efficient Personalized Recommendations
Andrew Starnes, Clayton Webster
In this effort, we propose using the Mamba for handling tabular data in personalized recommendation systems. We present the \textit{FT-Mamba} (Feature Tokenizer\,\,Mamba), a nov…
cs.LG2023
Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks
Andrew Starnes, Anton Dereventsov, Clayton Webster
In this effort, we consider the impact of regularization on the diversity of actions taken by policies generated from reinforcement learning agents trained using a policy gradient.…
stat.ML2023
Modeling Non-deterministic Human Behaviors in Discrete Food Choices
Andrew Starnes, Anton Dereventsov, E. Susanne Blazek +1
We establish a non-deterministic model that predicts a user's food preferences from their demographic information. Our simulator is based on NHANES dataset and domain expert knowle…