Estimation rates for sparse linear cyclic causal models
© Proceedings of the 36th Conference on Uncertainty in Artificial Intelligence, UAI 2020. All rights reserved. Causal models are fundamental tools to understand complex systems and predict the effect of interventions on such systems. However, despite an extensive literature in the population-or infi...
Main Authors: | Hütter, JC, Rigollet, P |
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Other Authors: | Massachusetts Institute of Technology. Department of Mathematics |
Format: | Article |
Language: | English |
Published: |
2021
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Online Access: | https://hdl.handle.net/1721.1/137028 |
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