Search Results for author: Jessilyn Dunn

Found 2 papers, 0 papers with code

Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health

no code implementations9 Sep 2022 Yi Shen, Jessilyn Dunn, Michael M. Zavlanos

In this paper, we consider a risk-averse multi-armed bandit (MAB) problem where the goal is to learn a policy that minimizes the risk of low expected return, as opposed to maximizing the expected return itself, which is the objective in the usual approach to risk-neutral MAB.

Multi-Armed Bandits Transfer Learning

cgmquantify: Python and R packages for comprehensive analysis of interstitial glucose and glycemic variability from continuous glucose monitor data

no code implementations8 Feb 2021 Brinnae Bent, Maria Henriquez, Jessilyn Dunn

Continuous glucose monitoring (CGM) systems provide real-time, dynamic glucose information by tracking interstitial glucose values throughout the day (typically values are recorded every 5 minutes).

Management

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