Publications Search

79 entries « 2 of 4 »

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

INTERACTIVE WRITING AND DEBUGGING OF BAYESIAN PROBABILISTIC PROGRAMS Journal Article

Javier Burroni, Arjun Guha, David Jensen

2017.

Links | BibTeX | Tags: Probabilistic Programming

On causal analysis for heterogeneous networks Inproceedings

Katerina Marazopoulou, David Arbour, David Jensen

The 2017 ACM SIGKDD Workshop on Causal Discovery, 2017.

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Causal Discovery for Manufacturing Domains Miscellaneous

Katerina Marazopoulou, Rumi Ghosh, Prasanth Lade, David Jensen

2016.

Abstract | Links | BibTeX | Tags:

Controversy Detection in Wikipedia Using Collective Classification Inproceedings

Shiri Dori-Hacohen, David Jensen, James Allan

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016, pp. 797–800, ACM, 2016.

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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

Learning to Uncover Deep Musical Structure Inproceedings

Phillip B Kirlin, David Jensen

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA, pp. 1770–1776, AAAI Press, 2015.

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Teaching Computing as Science in a Research Experience Inproceedings

Jerod J Weinman, David Jensen, David Lopatto

Proceedings of the 46th ACM Technical Symposium on Computer Science Education, SIGCSE 2015, Kansas City, MO, USA, March 4-7, 2015, pp. 24–29, ACM, 2015.

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Classifier-adjusted density estimation for anomaly detection and one-class classification Inproceedings

Lisa Friedland, Amanda Gentzel, David Jensen

Proceedings of the 2014 SIAM International Conference on Data Mining, pp. 578–586, Society for Industrial and Applied Mathematics 2014.

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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

Refining the Semantics of Social Influence Miscellaneous

Katerina Marazopoulou, David Arbour, David Jensen

2014.

Abstract | Links | BibTeX | Tags: Statistical Relational Learning

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

Agglomerative Clustering of Bagged Data Using Joint Distributions Journal Article

David Arbour, James Atwood, Ahmed El-Kishky, David Jensen

2013.

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Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events Inproceedings

Lisa Friedland, David Jensen, Michael Lavine

Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013, pp. 1175–1183, JMLR.org, 2013.

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Flattening network data for causal discovery: What could go wrong? Inproceedings

Marc Maier, Katerina Marazopoulou, David Arbour, David Jensen

Workshop on Information in Networks, 2013.

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Reasoning about Independence in Probabilistic Models of Relational Data Miscellaneous

Marc Maier, Katerina Marazopoulou, David Jensen

2013.

Abstract | Links | BibTeX | Tags: Causal Modeling

Leveraging Relational Representations for Causal Discovery PhD Thesis

Matthew Rattigan

2012, ISBN: 9781267786821, (AAI3545976).

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79 entries « 2 of 4 »