R. E. Tillman and P. Spirtes (2011)
"Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables"
To appear in Proceedings of the 14th International Conference on Artificial Intelligence and Statistics (AISTATS 2011)
- Notable Paper Award Recipient
[Abstract] [PDF] [BiBTeX]

R. E. Tillman, A. Gretton, and P. Spirtes (2010)
"Nonlinear directed acyclic structure learning with weakly additive noise models"
In Advances in Neural Information Processing Systems 22 (NIPS 2009).
[Abstract] [PDF] [BiBTeX]

P. Spirtes, C. Glymour, R. Scheines and R. E. Tillman (2010)
"Automated search for causal relations: theory and practice"
In Heuristics, Probability, and Causality: A Tribute to Judea Pearl.
[Abstract] [PDF] [BiBTeX]

R. E. Tillman (2009)
"Structure learning with independent non-identically distributed data"
In Proceedings of the 26th International Conference on Machine Learning (ICML 2009).
[Abstract] [PDF] [BiBTeX]

R. E. Tillman and P. Spirtes (2009)
"When causality matters for prediction: investigating the practical tradeoffs"
In Proceedings of NIPS 2008 Worshop on Causality: Objectives and Assessment.
[Abstract] [PDF] [BiBTeX]

R. E. Tillman, D. Danks and C. Glymour (2009)
"Integrating locally learned causal structures with overlapping variables"
In Advances in Neural Information Processing Systems 21 (NIPS 2008)
[Abstract] [PDF] [BiBTeX]