Barbara E. Engelhardt

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All published works

Action	Title	Year	Authors
+ PDF Chat	A Distributional Evaluation of Generative Image Models	2025	Edric Tam Barbara E. Engelhardt
+	Cellular behavior analysis from live-cell imaging of TCR T cell-cancer cell interactions	2024	Archit Verma Barbara E. Engelhardt
+	Cellular behavior analysis from live-cell imaging of TCR T cell-cancer cell interactions	2024	Archit Verma Barbara E. Engelhardt
+ PDF Chat	CANDOR: Counterfactual ANnotated DOubly Robust Off-Policy Evaluation	2024	Aishwarya Mandyam Shengpu Tang Jiayu Yao Jenna Wiens Barbara E. Engelhardt
+ PDF Chat	Non-Myopic Multi-Objective Bayesian Optimization	2024	Syrine Belakaria Alaleh Ahmadianshalchi Barbara E. Engelhardt Stefano Ermon Janardhan Rao Doppa
+ PDF Chat	Inverse Reinforcement Learning with Multiple Planning Horizons	2024	Jiayu Yao Weiwei Pan Finale Doshi‐Velez Barbara E. Engelhardt
+ PDF Chat	Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes	2024	Syrine Belakaria Benjamin Letham Janardhan Rao Doppa Barbara E. Engelhardt Stefano Ermon Eytan Bakshy
+	Contrastive linear regression	2024	Boyang Zhang Sarah Nyquist Andrew Jones Barbara E. Engelhardt Didong Li
+ PDF Chat	Sequential Gaussian Processes for Online Learning of Nonstationary Functions	2023	Michael Minyi Zhang Bianca Dumitrascu Sinead A. Williamson Barbara E. Engelhardt
+	Kernel Density Bayesian Inverse Reinforcement Learning	2023	Aishwarya Mandyam Didong Li Diana Cai Andrew Jones Barbara E. Engelhardt
+	Bayesian Non-linear Latent Variable Modeling via Random Fourier Features	2023	Michael Minyi Zhang Gregory W. Gundersen Barbara E. Engelhardt
+	Answering open questions in biology using spatial genomics and structured methods	2023	Siddhartha G. Jena Archit Verma Barbara E. Engelhardt
+	Adaptive Interventions with User-Defined Goals for Health Behavior Change	2023	Aishwarya Mandyam Matthew Joerke Barbara E. Engelhardt Emma Brunskill
+ PDF Chat	A Poisson reduced-rank regression model for association mapping in sequencing data	2022	Tiana Fitzgerald Andrew Jones Barbara E. Engelhardt
+ PDF Chat	Contrastive latent variable modeling with application to case-control sequencing experiments	2022	Andrew Jones F. William Townes Didong Li Barbara E. Engelhardt
+ PDF Chat	A Poisson reduced-rank regression model for association mapping in sequencing data	2022	Tiana Fitzgerald Andrew Jones Barbara E. Engelhardt
+	Variance Minimization in the Wasserstein Space for Invariant Causal Prediction.	2021	Guillaume Martinet Alexander Strzalkowski Barbara E. Engelhardt
+	Nested Policy Reinforcement Learning.	2021	Aishwarya Mandyam Andrew Jones Krzysztof Laudański Barbara E. Engelhardt
+	Nonnegative spatial factorization	2021	F. William Townes Barbara E. Engelhardt
+	Multi-group Gaussian Processes	2021	Didong Li Andrew Jones Sudipto Banerjee Barbara E. Engelhardt
+	Variance Minimization in the Wasserstein Space for Invariant Causal Prediction	2021	Guillaume Martinet Alexander Strzalkowski Barbara E. Engelhardt
+	Nested Policy Reinforcement Learning	2021	Aishwarya Mandyam Andrew Jones Krzysztof Laudański Barbara E. Engelhardt
+	Active multi-fidelity Bayesian online changepoint detection	2021	Gregory W. Gundersen Diana Cai Chuteng Zhou Barbara E. Engelhardt Ryan P. Adams
+	Contrastive latent variable modeling with application to case-control sequencing experiments	2021	Andrew Jones F. William Townes Didong Li Barbara E. Engelhardt
+ PDF Chat	Nonparametric Bayesian multiarmed bandits for single-cell experiment design	2020	Federico Camerlenghi Bianca Dumitrascu Federico Ferrari Barbara E. Engelhardt Stefano Favaro
+ PDF Chat	A self-exciting point process to study multi-cellular spatial signaling patterns	2020	Archit Verma Siddhartha G. Jena Danielle R. Isakov Kazuhiro Aoki Jared E. Toettcher Barbara E. Engelhardt
+	Latent variable modeling with random features	2020	Gregory W. Gundersen Michael Minyi Zhang Barbara E. Engelhardt
+	Nonparametric Deconvolution Models.	2020	Allison J. B. Chaney Archit Verma Young-Suk Lee Barbara E. Engelhardt
+	Probabilistic Contrastive Principal Component Analysis	2020	Didong Li Andrew Jones Barbara E. Engelhardt
+	Latent variable modeling with random features	2020	Gregory W. Gundersen Michael Minyi Zhang Barbara E. Engelhardt
+	Nonparametric Deconvolution Models	2020	Allison J. B. Chaney Archit Verma Young-Suk Lee Barbara E. Engelhardt
+	Bayesian Ordinal Quantile Regression with a Partially Collapsed Gibbs Sampler	2019	Isabella N. Grabski Roberta De Vito Barbara E. Engelhardt
+	Nonparametric Bayesian multi-armed bandits for single cell experiment design	2019	Federico Camerlenghi Bianca Dumitrascu Federico Ferrari Barbara E. Engelhardt Stefano Favaro
+	Defining Admissible Rewards for High Confidence Policy Evaluation	2019	Niranjani Prasad Barbara E. Engelhardt Finale Doshi‐Velez
+	Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes	2019	Lifang Cheng Bianca Dumitrascu Michael Zhang Corey Chivers Michael Draugelis Kai Li Barbara E. Engelhardt
+	Bayesian Ordinal Quantile Regression with a Partially Collapsed Gibbs Sampler	2019	Isabella N. Grabski Roberta De Vito Barbara E. Engelhardt
+	Nonparametric Bayesian multi-armed bandits for single cell experiment design	2019	Federico Camerlenghi Bianca Dumitrascu Federico Ferrari Barbara E. Engelhardt Stefano Favaro
+	Sequential Gaussian Processes for Online Learning of Nonstationary Functions	2019	Michael Minyi Zhang Bianca Dumitrascu Sinead A. Williamson Barbara E. Engelhardt
+ PDF Chat	An Optimal Policy for Patient Laboratory Tests in Intensive Care Units	2018	Li-Fang Cheng Niranjani Prasad Barbara E. Engelhardt
+ PDF Chat	A robust nonlinear low-dimensional manifold for single cell RNA-seq data	2018	Archit Verma Barbara E. Engelhardt
+	How algorithmic confounding in recommendation systems increases homogeneity and decreases utility	2018	Allison J. B. Chaney Brandon Stewart Barbara E. Engelhardt
+	PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits	2018	Bianca Dumitrascu Karen Feng Barbara E. Engelhardt
+	PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits	2018	Bianca Dumitrascu Karen Feng Barbara E. Engelhardt
+ PDF Chat	Bayesian nonparametric discovery of isoforms and individual specific quantification	2018	Derek Aguiar Lifang Cheng Bianca Dumitrascu Fantine Mordelet Athma A. Pai Barbara E. Engelhardt
+	An Optimal Policy for Patient Laboratory Tests in Intensive Care Units	2018	Lifang Cheng Niranjani Prasad Barbara E. Engelhardt
+	PG-TS: Improved Thompson Sampling for Logistic Contextual Bandits	2018	Bianca Dumitrascu Karen Feng Barbara E. Engelhardt
+	Fast Moment Estimation for Generalized Latent Dirichlet Models	2017	Shiwen Zhao Barbara E. Engelhardt Sayan Mukherjee David B. Dunson
+	Large Linear Multi-output Gaussian Process Learning for Time Series	2017	Vladimir Feinberg Lifang Cheng Kai Li Barbara E. Engelhardt
+	Large Linear Multi-output Gaussian Process Learning	2017	Vladimir Feinberg Lifang Cheng Kai Li Barbara E. Engelhardt
+ PDF Chat	Expandable factor analysis	2017	Sanvesh Srivastava Barbara E. Engelhardt David B. Dunson
+	Coupled Compound Poisson Factorization	2017	Mehmet Emin Basbug Barbara E. Engelhardt
+	Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction	2017	Lifang Cheng Gregory Darnell Bianca Dumitrascu Corey Chivers Michael Draugelis Kai Li Barbara E. Engelhardt
+	A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units	2017	Niranjani Prasad Li Cheng Corey Chivers Michael Draugelis Barbara E. Engelhardt
+	Large Linear Multi-output Gaussian Process Learning	2017	Vladimir Feinberg Lifang Cheng Kai Li Barbara E. Engelhardt
+	Divide-and-conquer for covariance matrix estimation	2016	Gautam Sabnis Debdeep Pati Barbara E. Engelhardt Natesh S. Pillai
+	Hierarchical Compound Poisson Factorization	2016	Mehmet Emin Basbug Barbara E. Engelhardt
+	Fast moment estimation for generalized latent Dirichlet models	2016	Shiwen Zhao Barbara E. Engelhardt Sayan Mukherjee David B. Dunson
+	Bayesian group factor analysis with structured sparsity	2016	Shiwen Zhao Chuan Gao Sayan Mukherjee Barbara E. Engelhardt
+	A Divide and Conquer Strategy for High Dimensional Bayesian Factor Models	2016	Gautam Sabnis Debdeep Pati Barbara E. Engelhardt Natesh S. Pillai
+	Unsupervised Domain Adaptation Using Approximate Label Matching	2016	Jordan T. Ash Robert E. Schapire Barbara E. Engelhardt
+	Dynamic Collaborative Filtering with Compound Poisson Factorization	2016	Ghassen Jerfel Mehmet Emin Basbug Barbara E. Engelhardt
+	Hierarchical Compound Poisson Factorization	2016	Mehmet Emin Basbug Barbara E. Engelhardt
+	A Bayesian test to identify variance effects	2015	Bianca Dumitrascu Gregory Darnell Julien F. Ayroles Barbara E. Engelhardt
+	Clustering with Beta Divergences	2015	Mehmet Emin Basbug Barbara E. Engelhardt
+ PDF Chat	Posterior predictive checks to quantify lack-of-fit in admixture models of latent population structure	2015	David Mimno David M. Blei Barbara E. Engelhardt
+	Adaptive Randomized Dimension Reduction on Massive Data	2015	Gregory Darnell Stoyan Georgiev Sayan Mukherjee Barbara E. Engelhardt
+ PDF Chat	Predicting genome-wide DNA methylation using methylation marks, genomic position, and DNA regulatory elements	2015	Weiwei Zhang Tim D. Spector Panos Deloukas Jordana T. Bell Barbara E. Engelhardt
+	Nonparametric Reduced-Rank Regression for Multi-SNP, Multi-Trait Association Mapping	2015	Ashlee M. Valente Geoffrey S. Ginsburg Barbara E. Engelhardt
+	AdaCluster : Adaptive Clustering for Heterogeneous Data	2015	Mehmet Emin Basbug Barbara E. Engelhardt
+	Adaptive Randomized Dimension Reduction on Massive Data	2015	Gregory Darnell S. Georgiev Sayan Mukherjee Barbara E. Engelhardt
+	A Bayesian test to identify variance effects	2015	Bianca Dumitrascu Gregory Darnell Julien F. Ayroles Barbara E. Engelhardt
+	Bayesian group latent factor analysis with structured sparse priors	2014	Shiwen Zhao Chuan Gao Sayan Mukherjee Barbara E. Engelhardt
+	Bayesian Structured Sparsity from Gaussian Fields	2014	Barbara E. Engelhardt Ryan P. Adams
+	Differential gene co-expression networks via Bayesian biclustering models	2014	Chuan Gao Shiwen Zhao Ian C. McDowell Christopher D. Brown Barbara E. Engelhardt
+	Bayesian group latent factor analysis with structured sparsity	2014	Shiwen Zhao Chuan Gao Sayan Mukherjee Barbara E. Engelhardt
+ PDF Chat	Integrative Modeling of eQTLs and Cis-Regulatory Elements Suggests Mechanisms Underlying Cell Type Specificity of eQTLs	2013	Andrew Brown Lara M. Mangravite Barbara E. Engelhardt
+	A latent factor model with a mixture of sparse and dense factors to model gene expression data with confounding effects	2013	Chuan Gao Christopher D. Brown Barbara E. Engelhardt

Common Coauthors

Coauthor	Papers Together
Bianca Dumitrascu	13
Archit Verma	7
Andrew Jones	6
Shiwen Zhao	6
Didong Li	6
Lifang Cheng	6
Mehmet Emin Basbug	6
Chuan Gao	5
Sayan Mukherjee	5
Michael Minyi Zhang	5
Gregory Darnell	5
Aishwarya Mandyam	5
Niranjani Prasad	4
Gregory W. Gundersen	4
Vladimir Feinberg	3
F. William Townes	3
Stefano Favaro	3
Michael Draugelis	3
Corey Chivers	3
Federico Camerlenghi	3
Karen Feng	3
David B. Dunson	3
Allison J. B. Chaney	3
Debdeep Pati	2
Sinead A. Williamson	2
Ryan P. Adams	2
Federico Ferrari	2
Alexander Strzalkowski	2
Sayan Mukherjee	2
Janardhan Rao Doppa	2
Diana Cai	2
Christopher D. Brown	2
Gautam Sabnis	2
Tiana Fitzgerald	2
Krzysztof Laudański	2
Jiayu Yao	2
Roberta De Vito	2
Natesh S. Pillai	2
Julien F. Ayroles	2
Finale Doshi‐Velez	2
Isabella N. Grabski	2
Syrine Belakaria	2
Siddhartha G. Jena	2
Stefano Ermon	2
Kai Li	2
Andrew Jones	1
Guillaume Martinet	1
Young-Suk Lee	1
Li-Fang Cheng	1
Li Cheng	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction*	2011	Nicholas G. Polson James G. Scott	8
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	7
+	The horseshoe estimator for sparse signals	2010	Carla M. Carvalho Nick Polson James G. Scott	7
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin	6
+ PDF Chat	Integrative Modeling of eQTLs and Cis-Regulatory Elements Suggests Mechanisms Underlying Cell Type Specificity of eQTLs	2013	Andrew Brown Lara M. Mangravite Barbara E. Engelhardt	6
+	Nonparametric Bayesian sparse factor models with application to gene expression modeling	2011	David A. Knowles Zoubin Ghahramani	6
+ PDF Chat	A Bayesian Analysis of Some Nonparametric Problems	1973	Thomas S. Ferguson	5
+	Generalized Beta Mixtures of Gaussians	2011	Artin Armagan David B. Dunson Merlise A. Clyde	5
+	A latent factor model with a mixture of sparse and dense factors to model gene expression data with confounding effects	2013	Chuan Gao Christopher D. Brown Barbara E. Engelhardt	5
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	5
+	On Outlier Rejection Phenomena in Bayes Inference	1979	Anthony O’Hagan	5
+ PDF Chat	Dimensionality Reduction for Supervised Learning With Reproducing Kernel Hilbert Spaces	2003	Kenji Fukumizu Francis R. Bach Michael I. Jordan	5
+	Posterior contraction in sparse Bayesian factor models for massive covariance matrices	2014	Debdeep Pati Anirban Bhattacharya Natesh S. Pillai David B. Dunson	4
+ PDF Chat	Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model	2019	F. William Townes Stephanie C. Hicks Martin J. Aryee Rafael A. Irizarry	4
+	Bayesian lasso regression	2009	Chetan P. Hans	4
+	Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction	2017	Lifang Cheng Gregory Darnell Bianca Dumitrascu Corey Chivers Michael Draugelis Kai Li Barbara E. Engelhardt	4
+	Bayesian Variable Selection in Linear Regression	1988	Toby J. Mitchell John J. Beauchamp	4
+	RELATIONS BETWEEN TWO SETS OF VARIATES	1936	Harold Hotelling	4
+	Structured Variable Selection with Sparsity-Inducing Norms	2011	Rodolphe Jenatton Jean-Yves Audibert Francis Bach	4
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	4
+	Contrastive Learning Using Spectral Methods	2013	James Zou Daniel Hsu David C. Parkes Ryan P. Adams	4
+	The Bayesian Lasso	2008	Trevor Park George Casella	4
+ PDF Chat	Penalized regression, standard errors, and Bayesian lassos	2010	George Casella Malay Ghosh Jeff Gill Minjung Kyung	4
+	Bayesian Structured Sparsity from Gaussian Fields	2014	Barbara E. Engelhardt Ryan P. Adams	4
+	Stochastic variational inference	2013	Matthew D. Hoffman David M. Blei Chong Wang John Paisley	4
+	Differential gene co-expression networks via Bayesian biclustering models	2014	Chuan Gao Shiwen Zhao Ian C. McDowell Christopher D. Brown Barbara E. Engelhardt	4
+	An Introduction to Multivariate Statistical Analysis	1986	Robb J. Muirhead T. W. Anderson	3
+	Variational Inference: A Review for Statisticians	2017	David M. Blei Alp Kucukelbir Jon McAuliffe	3
+	Bayesian variable selection regression for genome-wide association studies and other large-scale problems	2011	Yongtao Guan Matthew Stephens	3
+ PDF Chat	Bayesian Gaussian Copula Factor Models for Mixed Data	2013	Jared S. Murray David B. Dunson Lawrence Carin Joseph E. Lucas	3
+	A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units	2017	Niranjani Prasad Li Cheng Corey Chivers Michael Draugelis Barbara E. Engelhardt	3
+	Pattern Recognition and Machine Learning	2007	Christopher Bishop	3
+	GENERALIZED DOUBLE PARETO SHRINKAGE.	2013	Artin Armagan David B. Dunson Jaeyong Lee	3
+	Bayesian group factor analysis with structured sparsity	2016	Shiwen Zhao Chuan Gao Sayan Mukherjee Barbara E. Engelhardt	3
+	Ridge Regression: Biased Estimation for Nonorthogonal Problems	2000	Arthur E. Hoerl Robert W. Kennard	3
+ PDF Chat	Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions	1951	T. W. Anderson	3
+ PDF Chat	Sparse Bayesian infinite factor models	2011	Anirban Bhattacharya David B. Dunson	3
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	3
+	A Probabilistic Interpretation of Canonical Correlation Analysis	2005	Francis Bach Michael I. Jordan	3
+	ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES	1933	W. R THOMPSON	3
+	EM Algorithms for PCA and SPCA	1997	Sam T. Roweis	3
+ PDF Chat	The composite absolute penalties family for grouped and hierarchical variable selection	2009	Peng Zhao Guilherme V. Rocha Bin Yu	3
+ PDF Chat	Dealing With Label Switching in Mixture Models	2000	Matthew Stephens	3
+	Structured Sparse Principal Component Analysis	2009	Rodolphe Jenatton Guillaume Obozinski Francis Bach	3
+	On scale mixtures of normal distributions	1987	Mike West	3
+	The Theory of Dispersion Models	1999	Ananda Sen	3
+ PDF Chat	A feasible method for optimization with orthogonality constraints	2012	Zaiwen Wen Wotao Yin	3
+ PDF Chat	Fast Bayesian Factor Analysis via Automatic Rotations to Sparsity	2015	Veronika Ročková Edward I. George	3
+	Cross-Covariance Functions for Multivariate Geostatistics	2015	Marc G. Genton William Kleiber	2
+ PDF Chat	The Discrete Infinite Logistic Normal Distribution	2012	John Paisley Chong Wang David M. Blei	2