Bianca Dumitrascu

19 papers A* 1A 2B 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Goal-Oriented Influence-Maximizing Data Acquisition for Learning and Optimization. CoRR Weichi Yao, Bianca Dumitrascu, Bryan R. Goldsmith, Yixin Wang
2025	J	`jnl`	Variational Learning of Disentangled Representations. CoRR Yuli Slavutsky, Ozgur Beker, David Blei, Bianca Dumitrascu
2023	J	`jnl`	Dimensionless machine learning: Imposing exact units equivariance. J. Mach. Learn. Res. Soledad Villar, Weichi Yao, David W. Hogg, Ben Blum-Smith, Bianca Dumitrascu
2023	J	`jnl`	Hypergraph factorization for multi-tissue gene expression imputation. Nat. Mac. Intell. Ramón Viñas, Chaitanya K. Joshi, Dobrik Georgiev, Phillip Lin, Bianca Dumitrascu, Eric R. Gamazon, Pietro Liò
2023	J	`jnl`	Sequential Gaussian Processes for Online Learning of Nonstationary Functions. IEEE Trans. Signal Process. Michael Minyi Zhang, Bianca Dumitrascu, Sinead A. Williamson, Barbara E. Engelhardt
2022	J	`jnl`	Dimensionless machine learning: Imposing exact units equivariance. CoRR Soledad Villar, Weichi Yao, David W. Hogg, Ben Blum-Smith, Bianca Dumitrascu
2022	J	`jnl`	MarkerMap: nonlinear marker selection for single-cell studies. CoRR Nabeel Sarwar, Wilson Gregory, George A. Kevrekidis, Soledad Villar, Bianca Dumitrascu
2021	J	`jnl`	Approximate Latent Force Model Inference. CoRR Jacob Moss, Felix L. Opolka, Bianca Dumitrascu, Pietro Lió
2021	J	`jnl`	Causal network inference from gene transcriptional time-series response to glucocorticoids. PLoS Comput. Biol. Jonathan Lu, Bianca Dumitrascu, Ian C. McDowell, Brian Jo, Alejandro Barrera, Linda K. Hong, Sarah M. Leichter, Timothy E. Reddy, Barbara E. Engelhardt
2020	A	`conf`	Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes. AISTATS Li-Fang Cheng, Bianca Dumitrascu, Michael Minyi Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt
2020	J	`jnl`	Sparse multi-output Gaussian processes for online medical time series prediction. BMC Medical Informatics Decis. Mak. Li-Fang Cheng, Bianca Dumitrascu, Gregory Darnell, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt
2019	A	`conf`	End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations. UAI Gregory W. Gundersen, Bianca Dumitrascu, Jordan T. Ash, Barbara E. Engelhardt
2019	—	`—`	Expanding the computational biologist's toolkit: Experimental design and multi-modality in genomics Bianca Dumitrascu
2019	J	`jnl`	Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes. CoRR Li-Fang Cheng, Bianca Dumitrascu, Michael Minyi Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt
2019	J	`jnl`	Sequential Gaussian Processes for Online Learning of Nonstationary Functions. CoRR Michael Minyi Zhang, Bianca Dumitrascu, Sinead A. Williamson, Barbara E. Engelhardt
2019	J	`jnl`	Statistical tests for detecting variance effects in quantitative trait studies. Bioinform. Bianca Dumitrascu, Gregory Darnell, Julien Ayroles, Barbara E. Engelhardt
2019	B	`conf`	netNMF-sc: A Network Regularization Algorithm for Dimensionality Reduction and Imputation of Single-Cell Expression Data. RECOMB Rebecca Elyanow, Bianca Dumitrascu, Barbara E. Engelhardt, Benjamin J. Raphael
2018	A*	`conf`	PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits. NeurIPS Bianca Dumitrascu, Karen Feng, Barbara E. Engelhardt
2018	J	`jnl`	PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits. CoRR Bianca Dumitrascu, Karen Feng, Barbara E. Engelhardt