9 citations · 18 across the 8 of their papers we have counts for
4 papers · 1 filter
Bayesian Ordinal Quantile Regression with a Partially Collapsed Gibbs Sampler
Isabella N Grabski, Roberta De Vito, Barbara E Engelhardt
Unlike standard linear regression, quantile regression captures the relationship between covariates and the conditional response distribution as a whole, rather than only the relat…
Nonparametric Bayesian multi-armed bandits for single cell experiment design
Federico Camerlenghi, Bianca Dumitrascu, Federico Ferrari +2
The problem of maximizing cell type discovery under budget constraints is a fundamental challenge for the collection and analysis of single-cell RNA-sequencing (scRNA-seq) data. In…
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes
Li-Fang Cheng, Bianca Dumitrascu, Michael Zhang +4
Multi-output Gaussian processes (GPs) are a flexible Bayesian nonparametric framework that has proven useful in jointly modeling the physiological states of patients in medical tim…
Defining Admissible Rewards for High Confidence Policy Evaluation
Niranjani Prasad, Barbara E Engelhardt, Finale Doshi-Velez
A key impediment to reinforcement learning (RL) in real applications with limited, batch data is defining a reward function that reflects what we implicitly know about reasonable b…