Follow
Antti Hyttinen
Antti Hyttinen
Silo AI
Verified email at alumni.helsinki.fi - Homepage
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
1462014
Learning Linear Cyclic Causal Models with Latent Variables
A Hyttinen, F Eberhardt, PO Hoyer
Journal of Machine Learning Research 13, 3387-3439, 2012
1392012
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
1122013
Experiment selection for causal discovery
A Hyttinen, F Eberhardt, PO Hoyer
Journal of Machine Learning Research 14, 3041-3071, 2013
1062013
Do-calculus when the True Graph Is Unknown.
A Hyttinen, F Eberhardt, M Järvisalo
UAI, 395-404, 2015
572015
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
432016
Bayesian discovery of linear acyclic causal models
PO Hoyer, A Hyttinen
Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence …, 2009
372009
Reduced cost fixing in MaxSAT
F Bacchus, A Hyttinen, M Järvisalo, P Saikko
International Conference on Principles and Practice of Constraint …, 2017
342017
Identifying causal effects via context-specific independence relations
S Tikka, A Hyttinen, J Karvanen
Advances in Neural Information Processing Systems 32, NeurIPS 2019., 2020
332020
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
312019
Applications of MaxSAT in data analysis
OJ Berg, AJ Hyttinen, MJ Järvisalo
Proceedings of Pragmatics of SAT 2015 and 2018, 2019
302019
Towards Scalable Bayesian Learning of Causal DAGs
J Viinikka, A Hyttinen, J Pensar, M Koivisto
Advances in Neural Information Processing Systems 33, NeurIPS 2020., 2020
282020
Causal effect identification from multiple incomplete data sources: A general search-based approach
S Tikka, A Hyttinen, J Karvanen
Journal of Statistical Software 99 (5), 2021
272021
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
25*2010
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
242015
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
222017
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
202012
A core-guided approach to learning optimal causal graphs
A Hyttinen, P Saikko, M Järvisalo
Proceedings of the 26th International Joint Conference on Artificial …, 2017
182017
Discovering causal graphs with cycles and latent confounders: An exact branch-and-bound approach
K Rantanen, A Hyttinen, M Järvisalo
International Journal of Approximate Reasoning 117, 29-49, 2020
152020
Do-search: a tool for causal inference and study design with multiple data sources
J Karvanen, S Tikka, A Hyttinen
Epidemiology 32 (1), 111-119, 2021
142021
The system can't perform the operation now. Try again later.
Articles 1–20