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Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities

Vishwa Vinay , Manoj Kilaru , David Arbour

* Accepted as a full paper at SIGIR 2022 

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Off-Policy Evaluation in Embedded Spaces

Jaron J. R. Lee , David Arbour , Georgios Theocharous

* 9 pages, appeared at NeurIPS 2021 Workshop "Causal Inference Challenges in Sequential Decision Making: Bridging Theory and Practice", presented virtually Dec 14th 2021 

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Relational Causal Models with Cycles:Representation and Reasoning

Ragib Ahsan , David Arbour , Elena Zheleva

* To be published in the 1st Conference on Causal Learning and Reasoning (2022) 

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Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning

Tong Mu , Georgios Theocharous , David Arbour , Emma Brunskill

* AAAI2022 

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Doubly robust confidence sequences for sequential causal inference

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

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Heterogeneous Graphlets

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

David Arbour , Drew Dimmery , Anup Rao

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

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

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General Identification of Dynamic Treatment Regimes Under Interference

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

Ryan Rossi , Somdeb Sarkhel , David Arbour , Nesreen Ahmed

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