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02/24/2021
A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data
Mobile health (mHealth) apps such as menstrual trackers provide a rich s...
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09/24/2019
Characterizing physiological and symptomatic variation in menstrual cycles using self-tracked mobile health data
The menstrual cycle is a key indicator of overall health for women of re...
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12/13/2018
Dose-response modeling in high-throughput cancer drug screenings: A case study with recommendations for practitioners
Personalized cancer treatments based on the molecular profile of a patie...
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08/08/2018
(Sequential) Importance Sampling Bandits
The multi-armed bandit (MAB) problem is a sequential allocation task whe...
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08/08/2018
Nonparametric Gaussian mixture models for the multi-armed contextual bandit
The multi-armed bandit is a sequential allocation task where an agent mu...
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09/10/2017
Variational inference for the multi-armed contextual bandit
In many biomedical, science, and engineering problems, one must sequenti...
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09/10/2017
Bayesian bandits: balancing the exploration-exploitation tradeoff via double sampling
Reinforcement learning studies how to balance exploration and exploitati...
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01/05/2014
Stylistic Clusters and the Syrian/South Syrian Tradition of First-Millennium BCE Levantine Ivory Carving: A Machine Learning Approach
Thousands of first-millennium BCE ivory carvings have been excavated fro...
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05/15/2013
Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data
We address the problem of analyzing sets of noisy time-varying signals t...
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10/28/2008
A non-negative expansion for small Jensen-Shannon Divergences
In this report, we derive a non-negative series expansion for the Jensen...
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06/28/2008
Predicting Regional Classification of Levantine Ivory Sculptures: A Machine Learning Approach
Art historians and archaeologists have long grappled with the regional c...
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09/21/2007