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Found 5 papers, 0 papers with code
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations
The first negatively impacts less popular items, due to the fact that less popular items rely on trailing latent components to recover their values.
Policy Optimization for Personalized Interventions in Behavioral Health
DecompPI is simple and easy to implement for organizations aiming to improve long-term behavior through targeted interventions, and this paper demonstrates its strong performance both theoretically and empirically.
Fair Exploration via Axiomatic Bargaining
When patients are associated with natural groups on the basis of, say, race or age, it is natural to ask whether the cost of exploration borne by any single group is 'fair'.
TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation
The key algorithmic task for Thompson sampling is drawing a sample from the posterior of the optimal action.
The Limits to Learning a Diffusion Model
In a similar vein, our results imply that in the case of an SIR model, one cannot hope to predict the eventual number of infections until one is approximately two-thirds of the way to the time at which the infection rate has peaked.
