Bianca Dumitrascu

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 16

Top Topics

Gaussian Process

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

Ramón Viñas, Chaitanya K. Joshi, Dobrik Georgiev, Phillip Lin, Bianca Dumitrascu, Eric R. Gamazon, Pietro Liò
Hypergraph factorization for multi-tissue gene expression imputation. Nat. Mac. Intell. 5 (7) (2023)
Michael Minyi Zhang, Bianca Dumitrascu, Sinead A. Williamson, Barbara E. Engelhardt
Sequential Gaussian Processes for Online Learning of Nonstationary Functions. IEEE Trans. Signal Process. 71 (2023)
Soledad Villar, Weichi Yao, David W. Hogg, Ben Blum-Smith, Bianca Dumitrascu
Dimensionless machine learning: Imposing exact units equivariance. J. Mach. Learn. Res. 24 (2023)
Soledad Villar, Weichi Yao, David W. Hogg, Ben Blum-Smith, Bianca Dumitrascu
Dimensionless machine learning: Imposing exact units equivariance. CoRR (2022)
Nabeel Sarwar, Wilson Gregory, George A. Kevrekidis, Soledad Villar, Bianca Dumitrascu
MarkerMap: nonlinear marker selection for single-cell studies. CoRR (2022)
Jacob Moss, Felix L. Opolka, Bianca Dumitrascu, Pietro Lió
Approximate Latent Force Model Inference. CoRR (2021)
Jonathan Lu, Bianca Dumitrascu, Ian C. McDowell, Brian Jo, Alejandro Barrera, Linda K. Hong, Sarah M. Leichter, Timothy E. Reddy, Barbara E. Engelhardt
Causal network inference from gene transcriptional time-series response to glucocorticoids. PLoS Comput. Biol. 17 (1) (2021)
Li-Fang Cheng, Bianca Dumitrascu, Gregory Darnell, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt
Sparse multi-output Gaussian processes for online medical time series prediction. BMC Medical Informatics Decis. Mak. 20 (1) (2020)
Li-Fang Cheng, Bianca Dumitrascu, Michael Minyi Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes. AISTATS (2020)
Bianca Dumitrascu, Gregory Darnell, Julien Ayroles, Barbara E. Engelhardt
Statistical tests for detecting variance effects in quantitative trait studies. Bioinform. 35 (2) (2019)
Gregory W. Gundersen, Bianca Dumitrascu, Jordan T. Ash, Barbara E. Engelhardt
End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations. UAI (2019)
Michael Minyi Zhang, Bianca Dumitrascu, Sinead A. Williamson, Barbara E. Engelhardt
Sequential Gaussian Processes for Online Learning of Nonstationary Functions. CoRR (2019)
Rebecca Elyanow, Bianca Dumitrascu, Barbara E. Engelhardt, Benjamin J. Raphael
netNMF-sc: A Network Regularization Algorithm for Dimensionality Reduction and Imputation of Single-Cell Expression Data. RECOMB (2019)
Li-Fang Cheng, Bianca Dumitrascu, Michael Minyi Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes. CoRR (2019)
Bianca Dumitrascu, Karen Feng, Barbara E. Engelhardt
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits. CoRR (2018)
Bianca Dumitrascu, Karen Feng, Barbara E. Engelhardt
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits. NeurIPS (2018)