14 citations · 50 across the 10 of their papers we have counts for
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stat.ML2017★ 4 cited
Towards Personalized Modeling of the Female Hormonal Cycle: Experiments with Mechanistic Models and Gaussian Processes
Iñigo Urteaga, David J. Albers, Marija Vlajic Wheeler +3
In this paper, we introduce a novel task for machine learning in healthcare, namely personalized modeling of the female hormonal cycle. The motivation for this work is to model the…
stat.ML2017★ 14 cited
Variational inference for the multi-armed contextual bandit
Iñigo Urteaga, Chris H. Wiggins
In many biomedical, science, and engineering problems, one must sequentially decide which action to take next so as to maximize rewards. One general class of algorithms for optimiz…
stat.ML2017★ 6 cited
Bayesian bandits: balancing the exploration-exploitation tradeoff via double sampling
Iñigo Urteaga, Chris H. Wiggins
Reinforcement learning studies how to balance exploration and exploitation in real-world systems, optimizing interactions with the world while simultaneously learning how the world…