Antti Hyttinen
Title
Cited by
Cited by
Year
Constraint-based Causal Discovery: Conflict Resolution with Answer Set Programming.
A Hyttinen, F Eberhardt, M Järvisalo
UAI, 340-349, 2014
952014
Learning Linear Cyclic Causal Models with Latent Variables
A Hyttinen, F Eberhardt, PO Hoyer
Journal of Machine Learning Research 13, 3387-3439, 2012
842012
Discovering Cyclic Causal Models with Latent Variables: A General SAT-Based Procedure
A Hyttinen, PO Hoyer, F Eberhardt, M Järvisalo
Uncertainty in Artificial Intelligence, 2013
762013
Experiment selection for causal discovery
A Hyttinen, F Eberhardt, PO Hoyer
Journal of Machine Learning Research 14, 3041-3071, 2013
652013
Do-calculus when the True Graph Is Unknown.
A Hyttinen, F Eberhardt, M Järvisalo
UAI, 395-404, 2015
402015
Bayesian discovery of linear acyclic causal models
PO Hoyer, A Hyttinen
arXiv preprint arXiv:1205.2641, 2012
262012
Causal Discovery from Subsampled Time Series Data by Constraint Optimization
A Hyttinen, S Plis, M Järvisalo, F Eberhardt, D Danks
International Conference on Probabilistic Graphical Models (PGM), 2016
242016
A logical approach to context-specific independence
J Corander, A Hyttinen, J Kontinen, J Pensar, J Väänänen
Annals of Pure and Applied Logic 170 (9), 975-992, 2019
212019
Learning Optimal Chain Graphs with Answer Set Programming
D Sonntag, M Järvisalo, JM Pena, A Hyttinen
http://auai.org/uai2015/proceedings/papers/189.pdf, 2015
202015
Applications of MaxSAT in data analysis
OJ Berg, AJ Hyttinen, MJ Järvisalo
Proceedings of Pragmatics of SAT 2015 and 2018, 2019
192019
Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables
A Hyttinen, F Eberhardt, PO Hoyer
Uncertainty in Artificial Intelligence, 2012
162012
Causal discovery for linear cyclic models with latent variables
A Hyttinen, F Eberhardt, PO Hoyer
Fifth European Workshop on Probabilistic Graphical Models (PGM-2010), 2010
162010
Reduced cost fixing in MaxSAT
F Bacchus, A Hyttinen, M Järvisalo, P Saikko
International Conference on Principles and Practice of Constraint …, 2017
152017
Noisy-OR Models with Latent Confounding
A Hyttinen, F Eberhardt, PO Hoyer
Uncertainty in Artificial Intelligence, 2011
102011
A constraint optimization approach to causal discovery from subsampled time series data
A Hyttinen, S Plis, M Järvisalo, F Eberhardt, D Danks
International Journal of Approximate Reasoning 90, 208-225, 2017
92017
Identifying causal effects via context-specific independence relations
S Tikka, A Hyttinen, J Karvanen
arXiv preprint arXiv:2009.09768, 2020
82020
Development of the EGNOS pseudolite system
R Chen, A Hyttinen, Y Chen, M Ström, H Laitinen, M Tossaint, S Martin
Journal of Global Positioning Systems 6 (2), 119-125, 2007
82007
Structure learning for Bayesian networks over labeled DAGs
A Hyttinen, J Pensar, J Kontinen, J Corander
International Conference on Probabilistic Graphical Models, 133-144, 2018
72018
Causal effect identification from multiple incomplete data sources: A general search-based approach
S Tikka, A Hyttinen, J Karvanen
arXiv preprint arXiv:1902.01073, 2019
62019
Learning optimal causal graphs with exact search
K Rantanen, A Hyttinen, M Järvisalo
International Conference on Probabilistic Graphical Models, 344-355, 2018
62018
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