Peter Spirtes
Orcid: 0000-0002-1385-190XAffiliations:
- Carnegie Mellon University, Pittsburgh, USA
According to our database1,
Peter Spirtes
authored at least 64 papers
between 1988 and 2024.
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Bibliography
2024
IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
CoRR, 2024
CoRR, 2024
Counterfactual Reasoning Using Predicted Latent Personality Dimensions for Optimizing Persuasion Outcome.
Proceedings of the Persuasive Technology - 19th International Conference, 2024
2023
IEEE J. Sel. Areas Inf. Theory, 2023
CoRR, 2023
CoRR, 2023
2022
Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A Uniformly Consistent Estimator of non-Gaussian Causal Effects Under the k-Triangle-Faithfulness Assumption.
Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022
2020
CoRR, 2020
2019
Mixed graphical models for integrative causal analysis with application to chronic lung disease diagnosis and prognosis.
Bioinform., 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Comparison of strategies for scalable causal discovery of latent variable models from mixed data.
Int. J. Data Sci. Anal., 2018
Causal Discovery with Linear Non-Gaussian Models under Measurement Error: Structural Identifiability Results.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Causal Structure Learning from Multivariate Time Series in Settings with Unmeasured Confounding.
Proceedings of 2018 ACM SIGKDD Workshop on Causal Discovery, 2018
2017
Estimating bounds on causal effects in high-dimensional and possibly confounded systems.
Int. J. Approx. Reason., 2017
CoRR, 2017
Discovery of Causal Models that Contain Latent Variables Through Bayesian Scoring of Independence Constraints.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the Computational Methods in Systems Biology, 2017
2016
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016
2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
2013
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
2012
Statistical test for consistent estimation of causal effects in linear non-Gaussian models.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence (2010)
CoRR, 2012
2011
Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
2010
Proceedings of the Causality: Objectives and Assessment (NIPS 2008 Workshop), 2010
2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
2008
Proceedings of the Causation and Prediction Challenge at WCCI 2008, 2008
INFORMS J. Comput., 2008
Proceedings of the UAI 2008, 2008
Proceedings of the UAI 2008, 2008
2006
Proceedings of the UAI '06, 2006
Proceedings of the UAI '06, 2006
Graphical Models for the Identification of Causal Structures in Multivariate Time Series Models.
Proceedings of the 2006 Joint Conference on Information Sciences, 2006
2005
A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables.
Proceedings of the UAI '05, 2005
Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables.
Proceedings of the UAI '05, 2005
2003
A Statistical Problem for Inference to Regulatory Structure from Associations of Gene Expression Measurements with Microarrays.
Bioinform., 2003
Proceedings of the UAI '03, 2003
Proceedings of the UAI '03, 2003
2002
Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition.
Data Min. Knowl. Discov., 2002
2001
Proceedings of the UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence, 2001
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001
2000
Causation, Prediction, and Search, Second Edition.
Adaptive computation and machine learning, MIT Press, ISBN: 978-0-262-19440-2, 2000
1999
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999
1997
Artif. Intell. Medicine, 1997
1996
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1996
1995
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995
1992
1991
Proceedings of the UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, 1991
1988
Treatment selection by constraint propagation a case study in cutting fluid selection.
Artif. Intell. Eng. Des. Anal. Manuf., 1988