Barbara E. Engelhardt

68 papers A* 3A 8B 1C 1Misc 1Journal 49Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Distributional Evaluation of Generative Image Models. CoRR Edric Tam, Barbara E. Engelhardt
2025	J	`jnl`	APRIL: Annotations for Policy evaluation with Reliable Inference from LLMs. CoRR Aishwarya Mandyam, Kalyani Limaye, Barbara E. Engelhardt, Emily Alsentzer
2025	J	`jnl`	Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data. J. Mach. Learn. Res. Didong Li, Andrew Jones, Sudipto Banerjee, Barbara E. Engelhardt
2025	J	`jnl`	Non-Myopic Multi-Objective Bayesian Optimization. Trans. Mach. Learn. Res. Syrine Belakaria, Alaleh Ahmadianshalchi, Barbara E. Engelhardt, Stefano Ermon, Jana Doppa
2025	J	`jnl`	PERRY: Policy Evaluation with Confidence Intervals using Auxiliary Data. CoRR Aishwarya Mandyam, Jason Meng, Ge Gao, Jiankai Sun, Mac Schwager, Barbara E. Engelhardt, Emma Brunskill
2025	J	`jnl`	Preference-Guided Diffusion for Multi-Objective Offline Optimization. CoRR Yashas Annadani, Syrine Belakaria, Stefano Ermon, Stefan Bauer, Barbara E. Engelhardt
2025	J	`jnl`	Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF. CoRR Syrine Belakaria, Joshua Kazdan, Charles Marx, Chris Cundy, Willie Neiswanger, Sanmi Koyejo, Barbara E. Engelhardt, Stefano Ermon
2024	—	`conf`	Adaptive Interventions with User-Defined Goals for Health Behavior Change. CHIL Aishwarya Mandyam, Matthew Jörke, William Denton, Barbara E. Engelhardt, Emma Brunskill
2024	J	`jnl`	Answering open questions in biology using spatial genomics and structured methods. BMC Bioinform. Siddhartha G. Jena, Archit Verma, Barbara E. Engelhardt
2024	J	`jnl`	CANDOR: Counterfactual ANnotated DOubly Robust Off-Policy Evaluation. CoRR Aishwarya Mandyam, Shengpu Tang, Jiayu Yao, Jenna Wiens, Barbara E. Engelhardt
2024	J	`jnl`	Inverse Reinforcement Learning with Multiple Planning Horizons. RLJ Jiayu Yao, Weiwei Pan, Finale Doshi-Velez, Barbara E. Engelhardt
2024	J	`jnl`	Inverse Reinforcement Learning with Multiple Planning Horizons. CoRR Jiayu Yao, Weiwei Pan, Finale Doshi-Velez, Barbara E. Engelhardt
2024	J	`jnl`	KD-BIRL: Kernel Density Bayesian Inverse Reinforcement Learning. Trans. Mach. Learn. Res. Aishwarya Mandyam, Didong Li, Andrew Jones, Diana Cai, Barbara E. Engelhardt
2023	J	`jnl`	Adaptive Interventions with User-Defined Goals for Health Behavior Change. CoRR Aishwarya Mandyam, Matthew Jörke, Barbara E. Engelhardt, Emma Brunskill
2023	J	`jnl`	Bayesian Non-linear Latent Variable Modeling via Random Fourier Features. CoRR Michael Minyi Zhang, Gregory W. Gundersen, Barbara E. Engelhardt
2023	—	`conf`	Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations. ML4H@NeurIPS Aishwarya Mandyam, Andrew Jones, Jiayu Yao, Krzysztof Laudanski, Barbara E. Engelhardt
2023	J	`jnl`	Kernel Density Bayesian Inverse Reinforcement Learning. CoRR Aishwarya Mandyam, Didong Li, Diana Cai, Andrew Jones, Barbara E. Engelhardt
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`	A Poisson reduced-rank regression model for association mapping in sequencing data. BMC Bioinform. Tiana Fitzgerald, Andrew Jones, Barbara E. Engelhardt
2022	A	`conf`	Variance Minimization in the Wasserstein Space for Invariant Causal Prediction. AISTATS Guillaume G. Martinet, Alexander Strzalkowski, Barbara E. Engelhardt
2021	A	`conf`	Active multi-fidelity Bayesian online changepoint detection. UAI Gregory W. Gundersen, Diana Cai, Chuteng Zhou, Barbara E. Engelhardt, Ryan P. Adams
2021	J	`jnl`	Active multi-fidelity Bayesian online changepoint detection. CoRR Gregory W. Gundersen, Diana Cai, Chuteng Zhou, Barbara E. Engelhardt, Ryan P. Adams
2021	J	`jnl`	Brain kernel: A new spatial covariance function for fMRI data. NeuroImage Anqi Wu, Samuel A. Nastase, Christopher Baldassano, Nicholas B. Turk-Browne, Kenneth A. Norman, Barbara E. Engelhardt, Jonathan W. Pillow
2021	—	`conf`	COP-E-CAT: cleaning and organization pipeline for EHR computational and analytic tasks. BCB Aishwarya Mandyam, Elizabeth C. Yoo, Jeff Soules, Krzysztof Laudanski, Barbara E. Engelhardt
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
2021	A	`conf`	Latent variable modeling with random features. AISTATS Gregory W. Gundersen, Michael Minyi Zhang, Barbara E. Engelhardt
2021	J	`jnl`	Nested Policy Reinforcement Learning. CoRR Aishwarya Mandyam, Andrew Jones, Krzysztof Laudanski, Barbara E. Engelhardt
2021	J	`jnl`	Nonnegative spatial factorization. CoRR F. William Townes, Barbara E. Engelhardt
2021	J	`jnl`	Variance Minimization in the Wasserstein Space for Invariant Causal Prediction. CoRR Guillaume Martinet, Alexander Strzalkowski, Barbara E. Engelhardt
2020	J	`jnl`	A robust nonlinear low-dimensional manifold for single cell RNA-seq data. BMC Bioinform. Archit Verma, Barbara E. Engelhardt
2020	—	`conf`	Defining admissible rewards for high-confidence policy evaluation in batch reinforcement learning. CHIL Niranjani Prasad, Barbara E. Engelhardt, Finale Doshi-Velez
2020	J	`jnl`	Latent variable modeling with random features. CoRR Gregory W. Gundersen, Michael Minyi Zhang, Barbara E. Engelhardt
2020	J	`jnl`	Nonparametric Deconvolution Models. CoRR Allison June-Barlow Chaney, Archit Verma, Young-Suk Lee, 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`	Probabilistic Contrastive Principal Component Analysis. CoRR Didong Li, Andrew Jones, 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	Misc	`conf`	An Optimal Policy for Patient Laboratory Tests in Intensive Care Units. PSB Li-Fang Cheng, Niranjani Prasad, Barbara E. Engelhardt
2019	J	`jnl`	Defining Admissible Rewards for High Confidence Policy Evaluation. CoRR Niranjani Prasad, Barbara E. Engelhardt, Finale Doshi-Velez
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	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	—	`conf`	Predicting Sick Patient Volume in a Pediatric Outpatient Setting using Time Series Analysis. MLHC Grace Guan, 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	J	`jnl`	An Optimal Policy for Patient Laboratory Tests in Intensive Care Units. CoRR Li-Fang Cheng, Niranjani Prasad, Barbara E. Engelhardt
2018	J	`jnl`	Clustering gene expression time series data using an infinite Gaussian process mixture model. PLoS Comput. Biol. Ian C. McDowell, Dinesh Manandhar, Christopher M. Vockley, Amy K. Schmid, Timothy E. Reddy, Barbara E. Engelhardt
2018	A	`conf`	How algorithmic confounding in recommendation systems increases homogeneity and decreases utility. RecSys Allison June-Barlow Chaney, Brandon M. Stewart, Barbara E. Engelhardt
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
2017	A	`conf`	A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units. UAI Niranjani Prasad, Li-Fang Cheng, Corey Chivers, Michael Draugelis, Barbara E. Engelhardt
2017	J	`jnl`	A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units. CoRR Niranjani Prasad, Li-Fang Cheng, Corey Chivers, Michael Draugelis, Barbara E. Engelhardt
2017	J	`jnl`	Adaptive Randomized Dimension Reduction on Massive Data. J. Mach. Learn. Res. Gregory Darnell, Stoyan Georgiev, Sayan Mukherjee, Barbara E. Engelhardt
2017	J	`jnl`	Coupled Compound Poisson Factorization. CoRR Mehmet Emin Basbug, Barbara E. Engelhardt
2017	A	`conf`	Dynamic Collaborative Filtering With Compound Poisson Factorization. AISTATS Ghassen Jerfel, Mehmet Emin Basbug, Barbara E. Engelhardt
2017	J	`jnl`	How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility. CoRR Allison June-Barlow Chaney, Brandon M. Stewart, Barbara E. Engelhardt
2017	J	`jnl`	The impact of rare variation on gene expression across tissues. Nat. Xin Li, Yungil Kim, Emily K. Tsang, Joe R. Davis, Farhan N. Damani, Colby Chiang, Gaelen T. Hess, Zachary Zappala, Benjamin J. Strober, Alexandra J. Scott, Amy Li, Andrea Ganna, Michael C. Bassik, Jason D. Merker, François Aguet, Kristin G. Ardlie, Beryl B. Cummings, Ellen T. Gelfand, Gad Getz, Kane Hadley, Robert E. Handsaker, Katherine H. Huang, Seva Kashin, Konrad J. Karczewski, Monkol Lek, Xiao Li, Daniel G. MacArthur, Jared L. Nedzel, Duyen T. Nguyen, Michael S. Noble, Ayellet V. Segrè, Casandra A. Trowbridge, Taru Tukiainen, Nathan S. Abell, Brunilda Balliu, Ruth Barshir, Omer Basha, Alexis J. Battle, Gireesh K. Bogu, Andrew Brown, Christopher D. Brown, Stephane E. Castel, Lin S. Chen, Donald F. Conrad, Nancy J. Cox, Olivier Delaneau, Emmanouil T. Dermitzakis, Barbara E. Engelhardt, Eleazar Eskin, Pedro G. Ferreira, Laure Frésard, Eric R. Gamazon, Diego Garrido-Martín, Ariel D. H. Gewirtz, Genna Gliner, Michael J. Gloudemans, Roderic Guigó, Ira M. Hall, Buhm Han, Yuan He, Farhad Hormozdiari, Cedric Howald, Hae Kyung Im, Brian Jo, Eun Yong Kang, Sarah Kim-Hellmuth, Tuuli Lappalainen, Gen Li, Boxiang Liu, Serghei Mangul, Mark I. McCarthy, Ian C. McDowell, Pejman Mohammadi, Jean Monlong, Stephen B. Montgomery
2016	J	`jnl`	Bayesian group factor analysis with structured sparsity. J. Mach. Learn. Res. Shiwen Zhao, Chuan Gao, Sayan Mukherjee, Barbara E. Engelhardt
2016	J	`jnl`	Context Specific and Differential Gene Co-expression Networks via Bayesian Biclustering. PLoS Comput. Biol. Chuan Gao, Ian C. McDowell, Shiwen Zhao, Christopher D. Brown, Barbara E. Engelhardt
2016	J	`jnl`	Dynamic Collaborative Filtering with Compound Poisson Factorization. CoRR Ghassen Jerfel, Mehmet Emin Basbug, Barbara E. Engelhardt
2016	J	`jnl`	Fast moment estimation for generalized latent Dirichlet models. CoRR Shiwen Zhao, Barbara E. Engelhardt, Sayan Mukherjee, David B. Dunson
2016	A*	`conf`	Hierarchical Compound Poisson Factorization. ICML Mehmet Emin Basbug, Barbara E. Engelhardt
2016	J	`jnl`	Hierarchical Compound Poisson Factorization. CoRR Mehmet Emin Basbug, Barbara E. Engelhardt
2015	J	`jnl`	Clustering with Beta Divergences. CoRR Mehmet Emin Basbug, Barbara E. Engelhardt
2013	J	`jnl`	Stability selection for regression-based models of transcription factor-DNA binding specificity. Bioinform. Fantine Mordelet, John Horton, Alexander J. Hartemink, Barbara E. Engelhardt, Raluca Gordân
2006	A*	`conf`	A graphical model for predicting protein molecular function. ICML Barbara E. Engelhardt, Michael I. Jordan, Steven E. Brenner
2005	J	`jnl`	Protein Molecular Function Prediction by Bayesian Phylogenomics. PLoS Comput. Biol. Barbara E. Engelhardt, Michael I. Jordan, Kathryn E. Muratore, Steven E. Brenner
2002	J	`jnl`	The RADARSAT-MAMM Automated Mission Planner. AI Mag. Benjamin D. Smith, Barbara E. Engelhardt, Darren H. Mutz
2001	C	`conf`	The RadarSAT-MAMM Automated Mission Planner. IAAI Benjamin D. Smith, Barbara E. Engelhardt, Darren H. Mutz