3 papers
stat.ME2022
A Graphical Model for Fusing Diverse Microbiome Data
Mehmet Aktukmak, Haonan Zhu, Marc G. Chevrette +4
This paper develops a Bayesian graphical model for fusing disparate types of count data. The motivating application is the study of bacterial communities from diverse high dimensio…
stat.ML2022
High dimensional stochastic linear contextual bandit with missing covariates
Byoungwook Jang, Julia Nepper, Marc Chevrette +2
Recent works in bandit problems adopted lasso convergence theory in the sequential decision-making setting. Even with fully observed contexts, there are technical challenges that h…
q-bio.OT2021
Ten Quick Tips for Deep Learning in Biology
Benjamin D. Lee, Anthony Gitter, Casey S. Greene +17
Machine learning is a modern approach to problem-solving and task automation. In particular, machine learning is concerned with the development and applications of algorithms that…