336 citations · 1k across the 37 of their papers we have counts for
6 papers · 1 filter
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility
Allison J. B. Chaney, Brandon M. Stewart, Barbara E. Engelhardt
Recommendation systems are ubiquitous and impact many domains; they have the potential to influence product consumption, individuals' perceptions of the world, and life-altering de…
Large Linear Multi-output Gaussian Process Learning
Vladimir Feinberg, Li-Fang Cheng, Kai Li +1
Gaussian processes (GPs), or distributions over arbitrary functions in a continuous domain, can be generalized to the multi-output case: a linear model of coregionalization (LMC) i…
A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units
Niranjani Prasad, Li-Fang Cheng, Corey Chivers +2
The management of invasive mechanical ventilation, and the regulation of sedation and analgesia during ventilation, constitutes a major part of the care of patients admitted to int…
BIISQ: Bayesian nonparametric discovery of Isoforms and Individual Specific Quantification
Derek Aguiar, Li-Fang Cheng, Bianca Dumitrascu +3
Most human protein-coding genes can be transcribed into multiple possible distinct mRNA isoforms. These alternative splicing patterns encourage molecular diversity and dysregulatio…
Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction
Li-Fang Cheng, Gregory Darnell, Bianca Dumitrascu +4
In the scenario of real-time monitoring of hospital patients, high-quality inference of patients' health status using all information available from clinical covariates and lab tes…
Coupled Compound Poisson Factorization
Mehmet E. Basbug, Barbara E. Engelhardt
We present a general framework, the coupled compound Poisson factorization (CCPF), to capture the missing-data mechanism in extremely sparse data sets by coupling a hierarchical Po…