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A Simulation-Based Test of Identifiability for Bayesian Causal Inference Miscellaneous

Sam Witty, David Jensen, Vikash Mansinghka

2021.

Abstract | Links | BibTeX | Tags: Causal Modeling

How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference Inproceedings

Amanda M Gentzel, Purva Pruthi, David Jensen

International Conference on Machine Learning, pp. 3660–3671, PMLR 2021.

Abstract | Links | BibTeX | Tags: Causal Modeling

Causal Inference using Gaussian Processes with Structured Latent Confounders Inproceedings

Sam Witty, Kenta Takatsu, David Jensen, Vikash Mansinghka

Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event, pp. 10313–10323, PMLR, 2020.

Abstract | Links | BibTeX | Tags: Causal Modeling

The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data Inproceedings

Amanda Gentzel, Dan Garant, David Jensen

Advances in Neural Information Processing Systems, Curran Associates, Inc., 2019.

Abstract | Links | BibTeX | Tags: Causal Modeling

A/B Testing in Networks with Adversarial Nodes Inproceedings

Kaleigh Clary, Andrew McGregor, David Jensen

KDD Workshop on Mining and Learning with Graphs, 2017.

BibTeX | Tags: Causal Modeling

Evaluating causal models by comparing interventional distributions Miscellaneous

Dan Garant, David Jensen

2016.

Abstract | Links | BibTeX | Tags: Causal Modeling

Inferring Causal Direction from Relational Data Inproceedings

David Arbour, Katerina Marazopoulou, David Jensen

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, UAI 2016, June 25-29, 2016, New York City, NY, USA, AUAI Press, 2016.

Abstract | Links | BibTeX | Tags: Causal Modeling

Inferring Network Effects from Observational Data Inproceedings

David Arbour, Dan Garant, David Jensen

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016, pp. 715–724, ACM, 2016.

Abstract | Links | BibTeX | Tags: Causal Modeling

Learning the Structure of Causal Models with Relational and Temporal Dependence Inproceedings

Katerina Marazopoulou, Marc Maier, David Jensen

Proceedings of the UAI 2015 Workshop on Advances in Causal Inference co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), Amsterdam, The Netherlands, July 16, 2015, pp. 66–75, CEUR-WS.org, 2015.

Abstract | Links | BibTeX | Tags: Causal Modeling

Propensity Score Matching for Causal Inference with Relational Data Inproceedings

David Arbour, Katerina Marazopoulou, Dan Garant, David Jensen

Proceedings of the UAI 2014 Workshop Causal Inference: Learning and Prediction co-located with 30th Conference on Uncertainty in Artificial Intelligence (UAI 2014), Quebec City, Canada, July 27, 2014, pp. 25–34, CEUR-WS.org, 2014.

Abstract | Links | BibTeX | Tags: Causal Modeling

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

Marc Maier, Katerina Marazopoulou, David Arbour, David Jensen

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, UAI 2013, Bellevue, WA, USA, August 11-15, 2013, AUAI Press, 2013.

Abstract | Links | BibTeX | Tags: Causal Modeling

Reasoning about Independence in Probabilistic Models of Relational Data Miscellaneous

Marc Maier, Katerina Marazopoulou, David Jensen

2013.

Abstract | Links | BibTeX | Tags: Causal Modeling

Relational blocking for causal discovery Inproceedings

Matthew Rattigan, Marc Maier, David Jensen

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011.

Abstract | Links | BibTeX | Tags: Causal Modeling

Causal discovery in social media using quasi-experimental designs Inproceedings

Huseyin Oktay, Brian Taylor, David Jensen

Proceedings of the 3rd Workshop on Social Network Mining and Analysis, SNAKDD, pp. 1–9, 2010.

Abstract | Links | BibTeX | Tags: Causal Modeling

Learning causal models of relational domains Inproceedings

Marc Maier, Brian Taylor, Huseyin Oktay, David Jensen

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2010, Atlanta, Georgia, USA, July 11-15, 2010, 2010.

Abstract | Links | BibTeX | Tags: Causal Modeling