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Results: 5
Number of items: 5
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Claassen, T., & Mooij, J. M. (2023). Establishing Markov Equivalence in Cyclic Directed Graphs. Proceedings of Machine Learning Research, 216, 433-442. https://doi.org/10.48550/arXiv.2309.03092 -
Mooij, J. M., & Claassen, T. (2020). Constraint-Based Causal Discovery with Partial Ancestral Graphs in the presence of Cycles. Proceedings of Machine Learning Research, 124, 1159-1168. http://proceedings.mlr.press/v124/m-mooij20a.html
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Mooij, J. M., Magliacane, S., & Claassen, T. (2020). Joint Causal Inference from Multiple Contexts. Journal of Machine Learning Research, 21(99), Article 99. https://www.jmlr.org/papers/v21/
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Magliacane, S., van Ommen, T., Claassen, T., Bongers, S., Versteeg, P., & Mooij, J. M. (2019). Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions. In S. Bengio, H. Wallach, H. Larochelle, K. Grauman, N. Cesa-Bianchi, & R. Garnett (Eds.), 32nd Conference on Neural Information Processing Systems 2018: Montreal, Canada, 3-8 December 2018 (Vol. 15, pp. 10846-10856). (Advances in Neural Information Processing Systems; Vol. 31). Neural Information Processing Systems Foundation. https://papers.nips.cc/paper/8282-domain-adaptation-by-using-causal-inference-to-predict-invariant-conditional-distributions
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Magliacane, S., Claassen, T., & Mooij, J. (2017). Ancestral Causal Inference. In D. D. Lee, U. von Luxburg, R. Garnett, M. Sugiyama, & I. Guyon (Eds.), 30th Annual Conference on Neural Information Processing Systems 2016: Barcelona, Spain, 5-10 December 2016 (Vol. 7, pp. 4473-4481). (Advances in Neural Information Processing Systems; Vol. 29). Curran Associates. http://papers.nips.cc/paper/6266-ancestral-causal-inference
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