Barbara E Engelhardt

Full Professor, Stanford University

Joined

July 2019

Names

Barbara Engelhardt

Barbara E. Engelhardt

Emails

****@princeton.edu (Confirmed)

****@duke.edu (Confirmed)

****@cs.princeton.edu (Confirmed)

****@gmail.com (Confirmed)

****@stanford.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Full Professor

Stanford University (stanford.edu)

2022 – Present

Full Professor

Princeton University (princeton.edu)

2021 – 2022

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

BUDDY: Blending Training and Deployment Data with Weighted Expert Ensembles for Post-hoc LLM Calibration
Aishwarya Mandyam, Wenhui Sophia Lu, Wing Hung Wong, John Duchi, Barbara E Engelhardt
- ICLR 2026 Trustworthy AI
- Readers: Everyone
Understanding TCR T cell knockout behavior using interpretable machine learning
Marcus Blennemann, Archit Verma, Stefanie Bachl, Julia Carnevale, Barbara E Engelhardt
- Pacific Symposium on Biocomputing
- Readers: Everyone
PERRY: Policy Evaluation with Confidence Intervals using Auxiliary Data
Aishwarya Mandyam, Jason Meng, Ge Gao, Jiankai Sun, Mac Schwager, Barbara E Engelhardt, Emma Brunskill
- Submitted to ICLR 2026
- Readers: Everyone
Preference-Guided Diffusion for Multi-Objective Offline Optimization
Yashas Annadani, Syrine Belakaria, Stefano Ermon, Stefan Bauer, Barbara E Engelhardt
- NeurIPS 2025 poster
- Readers: Everyone
Sample Efficient Preference Alignment in LLMs via Active Exploration
Viraj Mehta, Syrine Belakaria, Vikramjeet Das, Ojash Neopane, Yijia Dai, Ilija Bogunovic, Barbara E Engelhardt, Stefano Ermon, Jeff Schneider, Willie Neiswanger
- COLM 2025
- Readers: Everyone
Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF
Syrine Belakaria, Joshua Kazdan, Charles Marx, Chris Cundy, Willie Neiswanger, Sanmi Koyejo, Barbara E Engelhardt, Stefano Ermon
- COLM 2025
- Readers: Everyone
Non-Myopic Multi-Objective Bayesian Optimization
Syrine Belakaria, Alaleh Ahmadian, Barbara E Engelhardt, Stefano Ermon, Jana Doppa
- Accepted by TMLR
- Readers: Everyone
KD-BIRL: Kernel Density Bayesian Inverse Reinforcement Learning
Aishwarya Mandyam, Didong Li, Andrew Jones, Diana Cai, Barbara E Engelhardt
- Accepted by TMLR
- Readers: Everyone
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
Syrine Belakaria, Benjamin Letham, Jana Doppa, Barbara E Engelhardt, Stefano Ermon, Eytan Bakshy
- NeurIPS 2024 poster
- Readers: Everyone
Inverse Reinforcement Learning with Multiple Planning Horizons
Jiayu Yao, Weiwei Pan, Finale Doshi-Velez, Barbara E Engelhardt
- RLC 2024
- Readers: Everyone

View all 56 publications

Co-Authors

View all 163 co-authors