Antti Hyttinen
Orcid: 0000-0002-6649-3229
According to our database1,
Antti Hyttinen
authored at least 33 papers
between 2009 and 2022.
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Bibliography
2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the International Conference on Probabilistic Graphical Models, 2022
2021
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-Based Approach.
J. Stat. Softw., 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
2020
Discovering causal graphs with cycles and latent confounders: An exact branch-and-bound approach.
Int. J. Approx. Reason., 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Evaluating Decision Makers over Selectively Labelled Data: A Causal Modelling Approach.
Proceedings of the Discovery Science - 23rd International Conference, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
Proceedings of the International Conference on Probabilistic Graphical Models, 2018
Proceedings of the International Conference on Probabilistic Graphical Models, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
A constraint optimization approach to causal discovery from subsampled time series data.
Int. J. Approx. Reason., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Principles and Practice of Constraint Programming, 2017
Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, 2017
2016
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016
2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
2013
Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
2012
J. Mach. Learn. Res., 2012
Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
2011
2009
Proceedings of the UAI 2009, 2009