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Sam Witty, David Jensen, Vikash Mansinghka

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

2021.

Abstract | Links | BibTeX | Tags: Causal Modeling

Amanda M Gentzel, Purva Pruthi, David Jensen

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

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

Abstract | Links | BibTeX | Tags: Causal Modeling

Sam Witty, Kenta Takatsu, David Jensen, Vikash Mansinghka

Causal Inference using Gaussian Processes with Structured Latent Confounders Proceedings Article

In: 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

Amanda Gentzel, Dan Garant, David Jensen

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

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

Abstract | Links | BibTeX | Tags: Causal Modeling

Kaleigh Clary, Andrew McGregor, David Jensen

A/B Testing in Networks with Adversarial Nodes Proceedings Article

In: KDD Workshop on Mining and Learning with Graphs, 2017.

BibTeX | Tags: Causal Modeling

Dan Garant, David Jensen

Evaluating causal models by comparing interventional distributions Miscellaneous

2016.

Abstract | Links | BibTeX | Tags: Causal Modeling

David Arbour, Katerina Marazopoulou, David Jensen

Inferring Causal Direction from Relational Data Proceedings Article

In: 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

David Arbour, Dan Garant, David Jensen

Inferring Network Effects from Observational Data Proceedings Article

In: 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

Katerina Marazopoulou, Marc Maier, David Jensen

Learning the Structure of Causal Models with Relational and Temporal Dependence Proceedings Article

In: 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

David Arbour, Katerina Marazopoulou, Dan Garant, David Jensen

Propensity Score Matching for Causal Inference with Relational Data Proceedings Article

In: 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

Marc Maier, Katerina Marazopoulou, David Arbour, David Jensen

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

In: 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

Marc Maier, Katerina Marazopoulou, David Jensen

Reasoning about Independence in Probabilistic Models of Relational Data Miscellaneous

2013.

Abstract | Links | BibTeX | Tags: Causal Modeling

Matthew Rattigan, Marc Maier, David Jensen

Relational blocking for causal discovery Proceedings Article

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

Abstract | Links | BibTeX | Tags: Causal Modeling

Huseyin Oktay, Brian Taylor, David Jensen

Causal discovery in social media using quasi-experimental designs Proceedings Article

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

Abstract | Links | BibTeX | Tags: Causal Modeling

Marc Maier, Brian Taylor, Huseyin Oktay, David Jensen

Learning causal models of relational domains Proceedings Article

In: 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

David Jensen, Andrew Fast, Brian Taylor, Marc Maier

Automatic Identification of Quasi-Experimental Designs for Discovering Causal Knowledge Proceedings Article

In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 372–380, Association for Computing Machinery, Las Vegas, Nevada, USA, 2008, ISBN: 9781605581934.

Abstract | Links | BibTeX | Tags: causal discovery, Causal Modeling, quasi-experimental design