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David Arbour
David Arbour
Adobe Research
Verified email at adobe.com - Homepage
Title
Cited by
Cited by
Year
A sound and complete algorithm for learning causal models from relational data
M Maier, K Marazopoulou, D Arbour, D Jensen
arXiv preprint arXiv:1309.6843, 2013
512013
Inferring Network Effects from Observational Data
D Arbour, D Garant, D Jensen
KDD, 2016
272016
Heterogeneous network motifs
RA Rossi, NK Ahmed, A Carranza, D Arbour, A Rao, S Kim, E Koh
arXiv preprint arXiv:1901.10026, 2019
262019
First experiences with a classroom recording system
PE Dickson, WR Adrion, AR Hanson, DT Arbour
Proceedings of the 14th annual ACM SIGCSE conference on Innovation and …, 2009
122009
Permutation weighting
D Arbour, D Dimmery, A Sondhi
International Conference on Machine Learning, 331-341, 2021
102021
Balanced off-policy evaluation in general action spaces
A Sondhi, D Arbour, D Dimmery
International Conference on Artificial Intelligence and Statistics, 2413-2423, 2020
102020
Evaluation of automatic classroom capture for computer science education
PE Dickson, DT Arbour, WR Adrion, A Gentzel
Proceedings of the fifteenth annual conference on Innovation and technology …, 2010
92010
Heterogeneous graphlets
RA Rossi, NK Ahmed, A Carranza, D Arbour, A Rao, S Kim, E Koh
ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (1), 1-43, 2020
82020
General identification of dynamic treatment regimes under interference
E Sherman, D Arbour, I Shpitser
International Conference on Artificial Intelligence and Statistics, 3917-3927, 2020
82020
Inferring Causal Direction from Relational Data
D Arbour, K Marazopoulou, D Jensen
Uncertainty in Artificial Intelligence, 2016
72016
Propensity Score Matching for Causal Inference with Relational Data.
DT Arbour, K Marazopoulou, D Garant, DD Jensen
CI@ UAI, 25-34, 2014
62014
Adjusting for confounders with text: Challenges and an empirical evaluation framework for causal inference
G Weld, P West, M Glenski, D Arbour, RA Rossi, T Althoff
Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022
42022
Efficient Balanced Treatment Assignments for Experimentation
D Arbour, D Dimmery, A Rao
International Conference on Artificial Intelligence and Statistics, 3070-3078, 2021
42021
Flattening network data for causal discovery: What could go wrong?
M Maier, K Marazopoulou, D Arbour, D Jensen
Workshop on Information in Networks 64, 2013
42013
Causal inference from network data
E Zheleva, D Arbour
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
32021
On causal analysis for heterogeneous networks
K Marazopoulou, D Arbour, D Jensen
KDD Workshop on Causal Discovery. http://nugget. unisa. edu. au/CD2017 …, 2017
22017
Refining the Semantics of Social Influence
K Marazopoulou, D Arbour, D Jensen
arXiv preprint arXiv:1412.5238, 2014
22014
Generating and Controlling Diversity in Image Search
M Tanjim, R Sinha, KK Singh, S Mahadevan, D Arbour, M Sinha, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
12022
System for identifying typed graphlets
R Rossi, AG Carranza, D Arbour, A Rao, S Kim, E Koh
US Patent 11,170,048, 2021
12021
Using Multitask Gaussian Processes to estimate the effect of a targeted effort to remove firearms
D Arbour, E Ben-Michael, A Feller, A Franks, S Raphael
arXiv preprint arXiv:2110.07006, 2021
12021
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