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David Arbour

Adobe Systems (United States) (per OpenAlex) · ORCID · OpenAlex

12 papers in scope · 9 published · 3 on the econ.EM arXiv · 20 citations · h-index 3 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Yingfei Wang
  2. Han Fang
  3. Siddharth Bhandari
  4. Waverly Wei
  5. Raghavendra Addanki
  6. Lars van der Laan
  7. Mark van der Laan
  8. Samantha Gold
  9. Daniel Molitor
  10. Jingshen Wang
  11. Avi Feller
  12. Zhexiao Lin
  13. Fang Han
  14. Oliver Dukes
  15. Elizabeth L. Ogburn
  16. David Bruns-Smith
  17. Lo-Hua Yuan
  18. Eli Ben-Michael
  19. Stephen Hansen
  20. Szymon Sacher

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(3 of 12)

working paper2026 · arXiv
working paper2025 · arXiv
Time-uniform central limit theory and asymptotic confidence sequences
published2024 · The Annals of Statistics · 4 citations · first circulated 2021
with Ian Waudby-Smith, Ritwik Sinha, Edward H. Kennedy, Aaditya Ramdas
Distributional Off-Policy Evaluation for Slate Recommendations
published2024 · Proceedings of the AAAI Conference on Artificial Intelligence · 2 citations · first circulated 2023
with Shreyas Chaudhari, Georgios Theocharous, Nikos Vlassis
Learning Relational Causal Models with Cycles through Relational Acyclification
published2023 · Proceedings of the AAAI Conference on Artificial Intelligence · 1 citations · first circulated 2022
with Ragib Ahsan, Elena Zheleva
working paper2022 · arXiv · 3 citations
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities
published2022 · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
with Vishwa Vinay, Manoj Kilaru
Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning
published2022 · Proceedings of the AAAI Conference on Artificial Intelligence · 6 citations · first circulated 2021
with Tong Mu, Georgios Theocharous, Emma Brunskill
Designing Transportable Experiments Under S-admissability
published2021 · International Conference on Artificial Intelligence and Statistics
with My V. T. Phan, Drew Dimmery, Anup Rao
Heterogeneous Graphlets
published2020 · ACM Transactions on Knowledge Discovery from Data
with Ryan A. Rossi, Nesreen K. Ahmed, Aldo Carranza, Anup Rao, Sungchul Kim, Eunyee Koh
Balanced Off-Policy Evaluation in General Action Spaces
published2020 · International Conference on Artificial Intelligence and Statistics · 2 citations · first circulated 2019
with Arjun Sondhi, Drew Dimmery
Inferring causal direction from relational data
published2016 · Uncertainty in Artificial Intelligence · 2 citations
with Katerina Marazopoulou, David Jensen

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.