Engelhardt, Barbara E

14 publications

JMLR 2025 Bayesian Multi-Group Gaussian Process Models for Heterogeneous Group-Structured Data Didong Li, Andrew Jones, Sudipto Banerjee, Barbara E. Engelhardt

TMLR 2025 Non-Myopic Multi-Objective Bayesian Optimization Syrine Belakaria, Alaleh Ahmadian, Barbara E Engelhardt, Stefano Ermon, Jana Doppa

NeurIPS 2025 Preference-Guided Diffusion for Multi-Objective Offline Optimization Yashas Annadani, Syrine Belakaria, Stefano Ermon, Stefan Bauer, Barbara E Engelhardt

CHIL 2024 Adaptive Interventions with User-Defined Goals for Health Behavior Change Aishwarya Mandyam, Matthew Jörke, William Denton, Barbara E. Engelhardt, Emma Brunskill

TMLR 2024 KD-BIRL: Kernel Density Bayesian Inverse Reinforcement Learning Aishwarya Mandyam, Didong Li, Andrew Jones, Diana Cai, Barbara E Engelhardt

NeurIPSW 2022 Spatially-Aware Dimension Reduction of Transcriptomics Data Lauren Okamoto, Andrew Jones, Archit Verma, Barbara E. Engelhardt

UAI 2021 Active Multi-Fidelity Bayesian Online Changepoint Detection Gregory W. Gundersen, Diana Cai, Chuteng Zhou, Barbara E. Engelhardt, Ryan P. Adams

UAI 2019 End-to-End Training of Deep Probabilistic CCA on Paired Biomedical Observations Gregory Gundersen, Bianca Dumitrascu, Jordan T. Ash, Barbara E. Engelhardt

MLHC 2019 Predicting Sick Patient Volume in a Pediatric Outpatient Setting Using Time Series Analysis Grace Guan, Barbara E. Engelhardt

UAI 2017 A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units Niranjani Prasad, Li-Fang Cheng, Corey Chivers, Michael Draugelis, Barbara E. Engelhardt

JMLR 2017 Adaptive Randomized Dimension Reduction on Massive Data Gregory Darnell, Stoyan Georgiev, Sayan Mukherjee, Barbara E Engelhardt

AISTATS 2017 Dynamic Collaborative Filtering with Compound Poisson Factorization Ghassen Jerfel, Mehmet Emin Basbug, Barbara E. Engelhardt

JMLR 2016 Bayesian Group Factor Analysis with Structured Sparsity Shiwen Zhao, Chuan Gao, Sayan Mukherjee, Barbara E Engelhardt

ICML 2006 A Graphical Model for Predicting Protein Molecular Function Barbara E. Engelhardt, Michael I. Jordan, Steven E. Brenner