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2020 – today
- 2023
[j6]Soledad Villar, Weichi Yao, David W. Hogg, Ben Blum-Smith, Bianca Dumitrascu:
Dimensionless machine learning: Imposing exact units equivariance. J. Mach. Learn. Res. 24: 109:1-109:32 (2023)- [j5]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): 739-753 (2023) - [j4]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: 1539-1550 (2023) - [d1]Ramón Viñas, Chaitanya K. Joshi, Dobrik Georgiev, Phillip Lin, Bianca Dumitrascu, Pietro Liò, Eric R. Gamazon:
Hypergraph Factorisation Expression Quantitative Trait Loci. Zenodo, 2023
- 2022
- [i6]Soledad Villar, Weichi Yao, David W. Hogg, Ben Blum-Smith, Bianca Dumitrascu:
Dimensionless machine learning: Imposing exact units equivariance. CoRR abs/2204.00887 (2022) - [i5]Nabeel Sarwar, Wilson Gregory, George A. Kevrekidis, Soledad Villar, Bianca Dumitrascu:
MarkerMap: nonlinear marker selection for single-cell studies. CoRR abs/2207.14106 (2022) - 2021
- [j3]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) - [i4]Jacob Moss, Felix L. Opolka, Bianca Dumitrascu, Pietro Lió:
Approximate Latent Force Model Inference. CoRR abs/2109.11851 (2021) - 2020
- [j2]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): 152 (2020) - [c4]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: 4045-4055
2010 – 2019
- 2019
- [b1]Bianca Dumitrascu:
Expanding the computational biologist's toolkit: Experimental design and multi-modality in genomics. Princeton University, USA, 2019 - [j1]Bianca Dumitrascu, Gregory Darnell, Julien Ayroles, Barbara E. Engelhardt:
Statistical tests for detecting variance effects in quantitative trait studies. Bioinform. 35(2): 200-210 (2019) - [c3]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: 297-298 - [c2]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: 945-955 - [i3]Michael Minyi Zhang, Bianca Dumitrascu, Sinead A. Williamson, Barbara E. Engelhardt:
Sequential Gaussian Processes for Online Learning of Nonstationary Functions. CoRR abs/1905.10003 (2019) - [i2]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 abs/1906.00226 (2019) - 2018
- [c1]Bianca Dumitrascu, Karen Feng, Barbara E. Engelhardt:
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits. NeurIPS 2018: 4629-4638 - [i1]Bianca Dumitrascu, Karen Feng, Barbara E. Engelhardt:
PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits. CoRR abs/1805.07458 (2018)
Coauthor Index
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