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Picture for David Arbour

Doubly robust confidence sequences for sequential causal inference


Mar 11, 2021
Ian Waudby-Smith, David Arbour, Ritwik Sinha, Edward H. Kennedy, Aaditya Ramdas


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Heterogeneous Graphlets


Oct 23, 2020
Ryan A. Rossi, Nesreen K. Ahmed, Aldo Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh

* arXiv admin note: substantial text overlap with arXiv:1901.10026 

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Efficient Balanced Treatment Assignments for Experimentation


Oct 21, 2020
David Arbour, Drew Dimmery, Anup Rao


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Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference


Sep 21, 2020
Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan Rossi, Tim Althoff


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General Identification of Dynamic Treatment Regimes Under Interference


Apr 02, 2020
Eli Sherman, David Arbour, Ilya Shpitser

* 2020 Conference on Artificial Intelligence and Statistics (AIStats) 

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Inferring Individual Level Causal Models from Graph-based Relational Time Series


Jan 16, 2020
Ryan Rossi, Somdeb Sarkhel, David Arbour, Nesreen Ahmed


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Balanced Off-Policy Evaluation in General Action Spaces


Jun 13, 2019
Arjun Sondhi, David Arbour, Drew Dimmery


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Balanced Off-Policy Evaluation General Action Spaces


Jun 09, 2019
Arjun Sondhi, David Arbour, Drew Dimmery


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Heterogeneous Network Motifs


Feb 04, 2019
Ryan A. Rossi, Nesreen K. Ahmed, Aldo Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh


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A Sound and Complete Algorithm for Learning Causal Models from Relational Data


Sep 26, 2013
Marc Maier, Katerina Marazopoulou, David Arbour, David Jensen

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

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