Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Causality: models, reasoning, and inference
Causality: models, reasoning, and inference
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
A general identification condition for causal effects
Eighteenth national conference on Artificial intelligence
Studies in causal reasoning and learning
Studies in causal reasoning and learning
Journal of Artificial Intelligence Research
Identifiability of path-specific effects
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Probabilistic evaluation of sequential plans from causal models with hidden variables
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Complete Identification Methods for the Causal Hierarchy
The Journal of Machine Learning Research
IDENTIFIABILITY IN CAUSAL BAYESIAN NETWORKS: A GENTLE INTRODUCTION
Cybernetics and Systems
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors
The Journal of Machine Learning Research
Effects of treatment on the treated: identification and generalization
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Introduction to Causal Inference
The Journal of Machine Learning Research
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We propose two new online methods for estimating the size of a backtracking search tree. The first method is based on a weighted sample of the branches visited by chronological backtracking. The second is a recursive method based on assuming that the ...