David Bruns-Smith

PhD student, University of California, Berkeley

Joined

October 2022

Names

David Bruns-Smith (Preferred)

Emails

****@berkeley.edu (Confirmed)

Personal Links

Career & Education History

PhD student

University of California, Berkeley (berkeley.edu)

2017 – Present

Advisors, Relations & Conflicts

PhD Advisor

2017 – Present

Expertise

No areas of expertise listed

Publications

Deconfounding Scores and Representation Learning for Causal Effect Estimation with Weak Overlap
Oscar Clivio, Alexander Nicholas D'Amour, Alexander Franks, David Bruns-Smith, Christopher C. Holmes, Avi Feller
- AISTATS 2026 Poster
- Readers: Everyone
Confounding-Robust Fitted-Q-Iteration under Observed Markovian Marginals
David Bruns-Smith, Angela Zhou
- NeurIPS 2025 Workshop MLxOR
- Readers: Everyone
Ridge Boosting is Both Robust and Efficient
David Bruns-Smith, Zhongming Xie, Avi Feller
- NeurIPS 2025 spotlight
- Readers: Everyone
Towards Principled Representation Learning to Improve Overlap in Treatment Effect Estimation
Oscar Clivio, David Bruns-Smith, Avi Feller, Christopher C. Holmes
- Causal@UAI2024 Poster
- Readers: Everyone
Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders
David Bruns-Smith, Angela Zhou
- RealML-2023
- Readers: Everyone
Outcome Assumptions and Duality Theory for Balancing Weights
David Bruns-Smith, Avi Feller
- 17 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain
David Bruns-Smith
- 17 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Tailored Overlap for Learning Under Distribution Shift
David Bruns-Smith, Alexander D'Amour, Avi Feller, Steve Yadlowsky
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- NeurIPS 2022 Workshop DistShift Poster
- Readers: Everyone

Co-Authors