Barbara E. Engelhardt
According to our database1, Barbara E. Engelhardt authored at least 27 papers between 2002 and 2020.
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Latent variable modeling with random features.
Nonparametric Deconvolution Models.
Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Defining Admissible Rewards for High Confidence Policy Evaluation.
Sequential Gaussian Processes for Online Learning of Nonstationary Functions.
Statistical tests for detecting variance effects in quantitative trait studies.
End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
netNMF-sc: A Network Regularization Algorithm for Dimensionality Reduction and Imputation of Single-Cell Expression Data.
Proceedings of the Research in Computational Molecular Biology, 2019
An Optimal Policy for Patient Laboratory Tests in Intensive Care Units.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Predicting Sick Patient Volume in a Pediatric Outpatient Setting using Time Series Analysis.
Proceedings of the Machine Learning for Healthcare Conference, 2019
Clustering gene expression time series data using an infinite Gaussian process mixture model.
PLoS Computational Biology, 2018
How algorithmic confounding in recommendation systems increases homogeneity and decreases utility.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Adaptive Randomized Dimension Reduction on Massive Data.
J. Mach. Learn. Res., 2017
Coupled Compound Poisson Factorization.
A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Dynamic Collaborative Filtering With Compound Poisson Factorization.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Context Specific and Differential Gene Co-expression Networks via Bayesian Biclustering.
PLoS Computational Biology, 2016
Bayesian group factor analysis with structured sparsity.
J. Mach. Learn. Res., 2016
Fast moment estimation for generalized latent Dirichlet models.
Hierarchical Compound Poisson Factorization.
Proceedings of the 33nd International Conference on Machine Learning, 2016
Clustering with Beta Divergences.
Stability selection for regression-based models of transcription factor-DNA binding specificity.
A graphical model for predicting protein molecular function.
Proceedings of the Machine Learning, 2006
Protein Molecular Function Prediction by Bayesian Phylogenomics.
PLoS Computational Biology, 2005
The RADARSAT-MAMM Automated Mission Planner.
AI Magazine, 2002