PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits. - Bianca Dumitrascu; Karen Feng; Barbara E. Engelhardt (NeurIPS, 2018)

netNMF-sc: A Network Regularization Algorithm for Dimensionality Reduction and Imputation of Single-Cell Expression Data. - Rebecca Elyanow; Bianca Dumitrascu; Barbara E. Engelhardt; Benjamin J. Raphael (RECOMB, 2019)

End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations. - Gregory W. Gundersen; Bianca Dumitrascu; Jordan T. Ash; Barbara E. Engelhardt (UAI, 2019)

Statistical tests for detecting variance effects in quantitative trait studies. - Bianca Dumitrascu; Gregory Darnell; Julien Ayroles; Barbara E. Engelhardt (Bioinform., 2019)

Expanding the computational biologist's toolkit: Experimental design and multi-modality in genomics - Bianca Dumitrascu (2019)

Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes. - Li-Fang Cheng; Bianca Dumitrascu; Michael Minyi Zhang; Corey Chivers; Michael Draugelis; Kai Li 001; Barbara E. Engelhardt (AISTATS, 2020)

Sparse multi-output Gaussian processes for online medical time series prediction. - Li-Fang Cheng; Bianca Dumitrascu; Gregory Darnell; Corey Chivers; Michael Draugelis; Kai Li 001; Barbara E. Engelhardt (BMC Medical Informatics Decis. Mak., 2020)

Approximate Latent Force Model Inference. - Jacob Moss; Felix L. Opolka; Bianca Dumitrascu; Pietro Lió (CoRR, 2021)

Causal network inference from gene transcriptional time-series response to glucocorticoids. - Jonathan Lu; Bianca Dumitrascu; Ian C. McDowell; Brian Jo; Alejandro Barrera; Linda K. Hong; Sarah M. Leichter; Timothy E. Reddy; Barbara E. Engelhardt (PLoS Comput. Biol., 2021)

MarkerMap: nonlinear marker selection for single-cell studies. - Nabeel Sarwar; Wilson Gregory; George A. Kevrekidis; Soledad Villar; Bianca Dumitrascu (CoRR, 2022)

Dimensionless machine learning: Imposing exact units equivariance. - Soledad Villar; Weichi Yao; David W. Hogg; Ben Blum-Smith; Bianca Dumitrascu (J. Mach. Learn. Res., 2023)

Sequential Gaussian Processes for Online Learning of Nonstationary Functions. - Michael Minyi Zhang; Bianca Dumitrascu; Sinead A. Williamson; Barbara E. Engelhardt (IEEE Trans. Signal Process., 2023)

Hypergraph Factorisation Expression Quantitative Trait Loci. - Ramón Viñas 001; Chaitanya K. Joshi; Dobrik Georgiev; Phillip Lin; Bianca Dumitrascu; Pietro Liò; Eric R. Gamazon (Zenodo, 2023)

Hypergraph factorization for multi-tissue gene expression imputation. - Ramón Viñas 001; Chaitanya K. Joshi; Dobrik Georgiev; Phillip Lin; Bianca Dumitrascu; Eric R. Gamazon; Pietro Liò (Nat. Mac. Intell., 2023)

Variational Learning of Disentangled Representations. - Yuli Slavutsky; Ozgur Beker; David Blei; Bianca Dumitrascu (CoRR, 2025)